AI Enablement

AI Enablement Data Jobs

14 jobs found

Today

AI Engineer, Enablement

LangChain Cambridge, MA

Cambridge, MA

Today

$150k - $195k/yr Full time AI Enablement Artificial Intelligence Engineer

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Job Description

LangChain is looking for an AI Engineer, Enablement to help customers build reliable agents using the LangChain ecosystem. This onsite role in Cambridge, MA blends technical depth with customer impact, from live workshops to scalable training assets. You will also support Enablement efficiency by building internal agents and tools.

Compensation for this position is $150,000 - $195,000 per year plus equity.

What you’ll work on

Design and deliver live, hands-on workshops that develop real product fluency rather than surface-level familiarity
Create enablement assets such as tutorials, reference implementations, and best-practice guides that scale beyond individual sessions
Provide technical guidance and office hours as questions come up from customer teams
Build internal agents and tools to streamline Enablement operations and automate processes so the team can scale efficiently
Act as the voice of the customer, feeding customer friction points back to Product and Engineering
Stay current on agent engineering practices and incorporate what you learn into the training you deliver

What you bring

3+ years building LLM/agent applications, including designing agent architectures and evaluation strategies
Strong Python with comfort writing and debugging code live in front of customers
2+ years in a technical, customer-facing role such as Enablement, Customer Success Engineering, Solutions Engineering, or similar, including experience delivering live workshops
Genuine enthusiasm for teaching, with a focus on leaving customers more capable than when you met them
Proven experience building and delivering high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides
Exceptional presentation and communication skills to explain complex concepts to diverse audiences, from individual developers to enterprise stakeholders
Ability to operate independently in ambiguous situations and manage multiple customer engagements at once
Curiosity for continuous learning to identify evolving trends in agent engineering and quickly apply learnings to customer enablement materials
Willingness to travel up to 20% of the time

Helpful experience (nice to have)

Deployed AI agents in production, especially with LangChain, LangGraph, Deep Agents, or similar frameworks
Hands-on experience with LLM evaluation, observability, or guardrails
Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
TypeScript/JavaScript experience in addition to Python

Tech you’ll use

Python
LLM/agent applications
LangChain, LangGraph
Deep Agents
LangSmith

Benefits and support

Medical, dental, and vision coverage
Flexible vacation
401(k) plan
Meals on in-office days in the US

LangChain’s Enablement team helps customers build real fluency in agent engineering and the LangSmith platform through live training, hands-on workshops, and technical content designed to scale beyond 1:1 time. In this role, you’ll set the technical foundation for how customers learn to build reliable agents with the LangChain ecosystem, teaching teams to work effectively with LangChain, LangGraph, Deep Agents, and LangSmith through instructor-led workshops, written content, and reference implementations.

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30d ago

AI Engineer

Spatial Data Logic Remote 🇺🇸 Remote

Remote

30d ago Closed

Full time AI Enablement Artificial Intelligence Automation

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Spatial Data Logic is seeking an AI Engineer to guide the delivery of AI powered software across GovPilot, SDL, and Hedgerow. The role focuses on building features driven by autonomous AI workflows while implementing safety guardrails and shaping the development lifecycle for our platforms’ future. This is a remote position that offers substantial independence and close collaboration with engineering leadership to chart long term objectives.

Responsibilities

Develop and ship features across the GovPilot, SDL, and Hedgerow codebases, adapting to new languages and frameworks as needed.
Design and implement systems and workflows that enable AI agents to operate at scale without compromising safety or quality.
Operate with a high degree of autonomy, managing your email, calendar, and tasks without a fixed step-by-step plan.
Propose and pilot innovative working approaches that extend beyond traditional agile or sprint models.
Establish guardrails, evaluations, and review processes so AI generated work can be trusted and deployed rapidly.
Partner with engineering leadership to define the development lifecycle a year from now and begin building toward it today.

Requirements

Hands-on, daily experience with AI coding tools such as Claude Code, Cursor, Copilot, or equivalents, not as occasional assistance.
Comfort moving across programming languages and stacks without needing extended ramp-up time.
A track record of working with minimal oversight, setting priorities and following through.
Strong judgment about what can be trusted to run autonomously and the ability to build effective guardrails around it.
Genuine curiosity about how AI changes software development, embracing it as a new way of working beyond pure productivity gains.
Residence in and authorization to work in the United States.

Technologies

Claude Code
Cursor
Copilot

Benefits

Competitive salary
Unlimited PTO
Flexible hours and remote work
Comprehensive health, dental, and vision insurance
Professional development budget
Home office and IT budget
Real autonomy and high impact work

What makes you stand out

Experience designing or operating agentic workflows in production, not just prototypes
A history of building or proposing new team processes, beyond simply following existing ones
Experience across both legacy and modern systems
A public track record (blog, open source, talks) demonstrating thoughtful consideration of AI engineering

How to apply

If you have been actively exploring agentic AI workflows in your own time and want to help a team implement this approach in practice, please send us your resume.

Equal Opportunity Employer

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe our workforce should reflect people of all backgrounds, identities, and experiences.

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1mo ago

Strategic Artificial Intelligence (AI) Engineer

Computer World Services Fort Meade, MD

Fort Meade, MD

1mo ago Closed

$130k - $150k/yr Full time AI Enablement Artificial Intelligence Engineer

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Computer World Services is seeking a Strategic AI Engineer to support the DISA EIIC initiative, applying AI technologies to programs that aid the warfighter. This hybrid role located at Fort Meade, MD combines hands-on development with program analysis and collaboration across government and industry partners. The position offers a salary in the range of $130,000 to $150,000 per year.

Responsibilities

Collaborate with DISA and industry colleagues to build a thorough understanding of AI technologies and their applications.
Stay informed about the latest AI advancements and research directions.
Design and deploy AI models spanning machine learning, natural language processing, and computer vision for diverse applications.
Assess model performance and identify opportunities for improvement.
Initiate, coordinate, and monitor technical and functional activities, including strategic planning, program analysis, quality assurance, configuration management, workflow governance, and productivity measurement.
Participate in program reviews, integrated process teams, and outreach efforts to promote DISA initiatives and secure participation from Combatant Commands (COCOM) or other partners.
Provide technical support for pathfinders, proofs-of-concept, and prototypes across multiple domains.
Develop program and project level management activities, process improvement recommendations, technology evaluation plans, procedures, metrics, and related documentation.
Generate reports, draft memos, transcribe notes, explore topics, and prepare presentations.

Requirements

Strong knowledge and experience with emerging cybersecurity technologies.
Proven ability to analyze technology, prepare reports, and deliver briefings.
Excellent communication and presentation skills, with comfort speaking publicly.
Self-motivated and collaborative, with a track record of delivering results promptly.
DoD 8140 and industry certifications may be required at start (for example, CEH, Sec+).
Because of U.S. Government security clearance requirements, applicants must be U.S. citizens and eligible to obtain an interim Secret clearance prior to start by completing the required U.S. government background investigation.
Top Secret or SCI clearance may be required.
Bachelor's degree in Engineering, Computer Science, or a related field is preferred.

Other information

Must be within commuting distance of Fort Meade and able to work on-site on a hybrid schedule. Applicants outside commuting distance will not be considered.

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1mo ago

Cloud AI Engineer, Lead

Zebra Technologies Lincolnshire, IL

Lincolnshire, IL

1mo ago Closed

$97k - $145k/yr Full time AI Enablement Artificial Intelligence Automation

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Zebra Technologies offers a hybrid work model with flexible hours, strong professional development opportunities, and a commitment to well being and inclusion. In the lead Cloud AI Engineer role, you will design, build, and scale cloud native AI platforms and AI powered tooling across IT Platform Engineering and Cloud Security. You will partner with stakeholders to translate ideas into concrete, rapid proofs of concept, delivering real value through hands on innovation. The role carries a competitive salary range and a robust benefits package designed to support you and your family.

Benefits

Hybrid work model with flexible hours
Summer Flex Fridays and Focus Fridays
Annual companywide well being day
Healthcare, wellness, and traditional insurances
Inclusion networks and ongoing learning and development
Community service days and parental leave
Employee assistance program and paid time off
Cash incentive programs
Compensation: USD 96,800 - 145,200 per year

Responsibilities

Identify and assess emerging opportunities across Platform Engineering and Cloud Infrastructure that align with business needs and cutting edge technology
Perform comprehensive business and systems analyses, translating complex findings into clear user stories, requirements, and actionable concepts
Lead and execute PoCs and hands on delivery to rapidly validate cloud and platform innovations
Research and report on disruptive technologies such as Generative AI, ML, RPA, and virtual agents, offering strategic recommendations for enterprise adoption
Serve as the primary IT Cloud Innovation Liaison, coordinating across innovation and product teams
Plan and facilitate structured ideation sessions to foster collaborative problem solving
Act as an Innovation Evangelist within IT and the broader enterprise to promote modern engineering practices
Track KPIs and provide leadership visibility into progress and business outcomes of innovation initiatives
Establish and maintain a repeatable operating model for cloud-native AI/ML deployment across GCP and Azure, focusing on pipeline architecture, performance, and compliance
Lead and mentor a high performing team of cloud and AI platform engineers toward predictive log analytics, automation (AIOps), and robust cloud data readiness
Translate AI governance, cloud security guardrails, and regulatory requirements into practical specs; integrate PII masking and RBAC into automated CI/CD pipelines
Manage roadmap alignment within the assigned technology portfolios

Requirements

Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering or a related field
5+ years in an operations style environment (NOC, SOC, MOC, etc.) with hands on troubleshooting of networking, service desk, operations center or cloud based infrastructure
Hands on Google Gemini Enterprise experience with the ability to build and deploy custom agents using the Agent Development Kit (ADK)
Multi cloud and GenAI platform proficiency including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic
Experience operating in global, heterogeneous cloud and on premises environments
Practical knowledge of large language models, Retrieval Augmented Generation architectures and agentic AI patterns such as Model Context Protocol, tool calling, and orchestration frameworks
Strong scripting or programming capability, particularly Python; software development background is a plus
Proven track record deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD with measurable outcomes such as high availability and latency reduction
Solid understanding of enterprise cloud security, API security, and fine grained identity systems; experience integrating PII masking and RBAC into automated pipelines
Active professional cloud certifications are highly preferred (eg Google Cloud Professional Cloud Architect, Professional ML Engineer or AI Engineer)
Strong Python based automation, infrastructure provisioning (IaC), and automated testing capabilities

Technologies

Google Gemini Enterprise
Agent Development Kit (ADK)
Google Cloud Platform (GCP)
Azure
OpenAI
Anthropic
Kubernetes (GKE/AKS)
Docker
Python

Location

This is a hybrid role requiring a minimum of three days per week on-site at either our Lincolnshire, IL or Holtsville, NY offices.

Preferred Qualifications

Some exposure to AI or ML systems, application security, or API security is a plus
Travel up to 10 percent

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1mo ago

JIATF 401 Technology Data Analyst

CACI Alexandria, VA

Alexandria, VA

1mo ago Closed

$87k - $182k/yr Full time AI Enablement Air Defense Systems Analyst

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

What CACI offers An on-site opportunity in Alexandria, VA to contribute to Joint Interagency Task Force 401 through technology data analysis, research, and capability evaluation. The compensation ranges from USD 86,600 to 181,800 per year, and the benefits package covers healthcare, wellness, retirement, family support, continuing education, and time off. This role brings together engineers, operators, acquisition professionals, scientists, intelligence analysts, and mission stakeholders to drive data‑driven decisions on capability development and acquisition.

Benefits

Healthcare
Wellness benefits
Financial benefits
Retirement benefits
Family support
Continuing education / learning and development opportunities
Time off benefits

Responsibilities

Perform technical research and analysis on emerging C-UAS technologies, including sensors, effectors, command and control, artificial intelligence, autonomy, and related mission capabilities.
Employ MSS, Palantir, Power BI, Python, and AI-enabled analytical tools to assess technology performance, operational effectiveness, and relevance to mission needs.
Track developments across industry, government research, academia, and defense tech to identify capabilities applicable to C-UAS operations.
Analyze specifications, architectures, engineering documentation, and operational performance data to determine technology maturity and mission suitability.
Support operational assessments, experiments, demonstrations, and capability evaluations with technical analysis and reporting.
Develop comparative assessments, technology roadmaps, capability gap analyses, and recommendations to inform acquisition strategies and capability development.
Evaluate interoperability, integration risks, technical limitations, and operational impacts of proposed technologies across the C-UAS enterprise.
Collaborate with engineers, operators, acquisition professionals, scientists, intelligence analysts, and mission stakeholders to identify requirements and recommend innovative solutions.
Develop dashboards, technical reports, executive briefings, white papers, and analytical products to communicate complex technical information to senior leadership.
Leverage AI tools, machine learning applications, and automated research capabilities to accelerate technical analysis and technology assessments.
Support requirements development, market research, RFIs, RFPs, acquisition planning, and technology transition activities.
Maintain awareness of emerging technologies, industry trends, operational requirements, and evolving UAS threats to inform future capability development.
Ensure technical assessments comply with security, data governance, and information assurance requirements.
Identify opportunities to improve technology evaluation methodologies, analytical workflows, and innovation processes supporting organizational objectives.

Requirements

Active Top Secret / SCI clearance
Bachelor's degree with four or more years of relevant experience; or associate degree with eight years; or high school diploma with ten years.
Proven experience conducting technical research, technology assessments, capability evaluations, or systems analysis.
Experience using Maven Smart System (MSS), Palantir, or similar enterprise data integration and analytics platforms.
Experience creating dashboards, technical reports, and analytical visualizations with Power BI or similar BI tools.
Working knowledge of Python for data analysis, automation, scripting, or technical research activities.
Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support technology assessments and decision-making.
Knowledge of systems engineering principles, technology readiness levels (TRLs), systems integration, and capability development processes.
Experience analyzing technical documentation, engineering specifications, operational test data, and performance metrics.
Strong proficiency with Microsoft Office Suite and the ability to produce technical documentation, executive briefings, white papers, and analytical reports.
Ability to communicate complex technical concepts and findings to senior military and civilian leadership.
Proven ability to collaborate with multidisciplinary engineering, acquisition, operational, and analytical teams in dynamic mission environments.

Technologies

Maven Smart System (MSS)
Palantir
Power BI
Python
AI-enabled analytical tools
Large language models (LLMs)
Microsoft Office Suite
Machine learning applications

What you can expect

A culture of integrity
An environment of trust
A focus on continuous growth

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1mo ago

Sr. Manager, Analytics Product Owner - Global Employer Services Technology Center

Deloitte Dallas, TX

Dallas, TX

1mo ago Closed

Full time Manager AI Enablement Ai Workflows

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Deloitte's Global Employer Services Technology Center in Dallas seeks a Sr. Manager to steer the analytics product portfolio, shaping strategy and delivering data-driven solutions. The role blends leadership of analytics teams with close collaboration across stakeholders to realize measurable business value through advanced analytics, GenAI, BI, and AI-enabled insights. This position operates in a hybrid environment and requires close coordination with US Tax professionals in person several days per week.

Responsibilities

Lead the Global Employer Services Analytics strategy and roadmap, prioritizing investments across machine learning, GenAI, agentic AI, business intelligence, and dashboards based on business outcomes, adoption, ROI, and value realization.
Direct ideation, prototyping, and delivery of analytics innovations and products, incorporating market, client, and stakeholder feedback to scale solutions and ensure business adoption.
Provide hands-on leadership to analytics teams and cross-functional partners, owning priorities, timelines, delivery quality, and execution discipline while coaching talent and partnering with Global Technology and senior stakeholders.

Requirements

Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week
Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
8+ years of progressive experience in analytics, data, or a related field
Experience leading teams of up to 20 analytics professionals
Proven experience with at least one advanced analytics method such as predictive analytics, recommendation engines, optimization algorithms, segmentation, or forecasting
Successful experience with at least one analytics visualization platform such as Qlik, Power BI, Tableau, or ThoughtSpot
Limited immigration sponsorship may be available
One of the following accreditations obtained:
- Licensed CPA in state of practice/primary office if eligible to sit for the CPA
- AWS Certified Solutions Architect
- Microsoft Azure
- Certified Secure Software Lifecycle Professional (CSSLP)
- CISSP (Certified Information Systems Security Professional)
- Certified in Risk and Information Systems Controls (CRISC)
- Alteryx Designer- Advanced Certification
- IASA's Certified IT Architect (CITA) (F/A Level)
- Open Group Certified Architect (Open CA)
- Certified SAFe® DevOps Practitioner
- Six Sigma Green/Black Belt

Technologies

Qlik
Power BI
Tableau
ThoughtSpot
Python
AWS
Alteryx Designer
GenAI
RAG
Agentic AI

Benefits

Discretionary annual incentive program eligibility

Qualifications

Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week
Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
8+ years of progressive experience in analytics, data, or a related field
Experience leading teams of up to 20 analytics professionals
Proven experience with at least one advanced analytics method such as predictive analytics, recommendation engines, optimization algorithms, segmentation, or forecasting
Successful experience with at least one analytics visualization platform such as Qlik, Power BI, Tableau, or ThoughtSpot
Limited immigration sponsorship may be available
One of the following accreditations obtained:
- Licensed CPA in state of practice/primary office if eligible to sit for the CPA
- AWS Certified Solutions Architect
- Microsoft Azure
- Certified Secure Software Lifecycle Professional (CSSLP)
- CISSP (Certified Information Systems Security Professional)
- Certified in Risk and Information Systems Controls (CRISC)
- Alteryx Designer- Advanced Certification
- IASA's Certified IT Architect (CITA) (F/A Level)
- Open Group Certified Architect (Open CA)
- Certified SAFe® DevOps Practitioner
- Six Sigma Green/Black Belt

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1mo ago

Expert Consultant, Coro, AI Engineer

Bain & Co. Washington, DC

Washington, DC

1mo ago Closed

$129k - $172k/yr Full time Python Advanced Analytics Agentic Ai

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

Join Bain & Company in Washington, DC, onsite, as an AI Engineer on the Coro team. You will help build GenAI powered tools and data-driven capabilities for B2B Commercial Excellence, designing, developing, and deploying AI solutions from proofs of concept to production in a client-facing consulting setting. This role centers on agentic workflows, retrieval pipelines, and ML models that drive business value for our clients.

This position offers a compelling benefits package and a collaborative culture that supports growth, impact, and professional development. You will work closely with Bain consultants and client teams to deliver practical AI solutions, balancing quality, speed, privacy, and adoption in enterprise environments.

Responsibilities

Design and build GenAI applications such as copilots, workflow automation, and decision-support tools for commercial teams using modern large language model stacks.
Implement agentic workflows with value, including tool use, multi-step execution, and human-in-the-loop controls, emphasizing reliability, safety, and clear failure modes.
Design and construct advanced search, retrieval, and knowledge pipelines across diverse data stores, covering indexing, metadata, relevance tuning, freshness, caching, access controls, and source attribution.
Develop robust agent capabilities including context engineering, memory and state management, orchestration, routing, and tool integration patterns.
Integrate AI solutions into enterprise environments and workflows (APIs, data systems, collaboration tools) while balancing quality, latency, cost, privacy, and adoption.
Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.
Deliver end-to-end ML solutions: data preparation, feature engineering, model selection, training, validation, testing, and performance analysis.
Apply suitable methods spanning classical ML and deep learning, including sequence, text, and image models where relevant.
Create reproducible training and evaluation pipelines with versioning, experiment tracking, robust validation, and documentation.
Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre-training versus post-training approaches.
Write clean, testable, maintainable code and ship AI services through the full SDLC: build, test, deploy, monitor, and iterate.
Implement MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.
Build evaluation and observability for GenAI and agentic systems: tracing, instrumentation, regression test suites, automated scoring, and iteration loops for prompt and policy optimization.
Design for secure enterprise deployment: access controls, auditability, handling of sensitive and PII data, and responsible AI guardrails.
Develop reusable components and accelerators that scale across client contexts, including templates, evaluation harnesses, connectors, and orchestration patterns.
Communicate clearly with technical and non-technical stakeholders; lead working sessions, present recommendations, and document technical approaches succinctly.
Collaborate with Bain consultants to prioritize technical decisions that unlock business value and support proposal shaping and scoping.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
3-5+ years of professional AI / ML engineering experience with strong backend fundamentals.
Proficiency in Python and experience building APIs / services (REST / gRPC) and integrating with enterprise systems.
Hands-on experience delivering LLM powered applications with attention to latency, cost, reliability, and security.
Experience building advanced retrieval and search systems (hybrid retrieval, vector search, reranking) and working across vector, graph, relational, document, and search data stores.
Experience implementing agentic patterns (context management, tool integration, orchestration, memory/state handling) with modern frameworks (LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops; solid judgment on when to apply agentic approaches.
Experience creating reusable skills, tools, and services for agent use, with schema validation (Pydantic) to enforce reliable data contracts.
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.
Experience deploying and operating services on AWS, GCP, and/or Azure, including environment management, reliability, observability, and scaling.
Experience with Docker and Kubernetes (or equivalents) and operating services in production (debugging, performance, resilience).
Proven ability to meet security, privacy, and governance requirements for AI systems (authentication/authorization, access controls, PII handling, enterprise risk controls).
Experience training, validating, and testing ML models with solid understanding of overfitting, generalization, and evaluation methodology.
Practical experience with feature engineering and data preprocessing for real-world datasets.
Familiarity with a broad set of ML algorithms (classical and deep learning) and the ability to select methods aligned with business constraints.
Familiarity with deep learning frameworks (PyTorch/TensorFlow) and ML lifecycle tooling (experiment tracking, model registry, feature store concepts).
Ability to operate effectively in ambiguous and complex environments, manage priorities, and deliver outcomes independently or with a team.
Excellent interpersonal and communication skills; able to explain technical decisions and results to mixed audiences.
Strong stakeholder management skills and comfort working directly with clients.

Technologies

Python
REST, gRPC
LangGraph
OpenAI Agents SDK
Pydantic AI
Docker
Kubernetes
AWS, GCP, Azure
PyTorch, TensorFlow
MCP

Compensation and Benefits

Base salary range of USD 128,500 to 171,500 annually, with variation by location and experience for states including Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California.
Annual discretionary performance bonus.
4.5% 401(k) company contribution, increasing after three years of service, fully vesting on start date.
Bain pays 100% of individual employee premiums for medical, dental, and vision coverage.
Generous paid time off including parental leave, sick leave, and holidays.
Paid life and long-term disability insurance.
Annual fitness reimbursements.
Other comprehensive benefits and wellness programs in line with Bain’s offerings.