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Today

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

Deloitte Dallas, TX

Dallas, TX

Today

Full time Manager AI Enablement Ai Workflows

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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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1d ago

Senior Machine Learning Engineer, Agentic Systems

ServiceNow Mountain View, CA

Mountain View, CA

1d ago

$161k - $274k/yr Full time Ai Workflows Artificial Intelligence Data Engineering

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Job Description

ServiceNow seeks a Senior Machine Learning Engineer to design and scale the ML infrastructure that trains and serves large language models, with work linked to Moveworks, now part of ServiceNow. The role emphasizes distributed training and inference, evaluation and monitoring, and latency optimization, and is based onsite in Mountain View, California.

Responsibilities

Design, implement, and optimize scalable ML infrastructure to enable training, evaluation, and deployment of large language models.
Create abstractions to automate steps across diverse ML workflows.
Partner with engineers, data analytics, ML experts, and product teams to deliver new features.
Leverage experience to advance best practices in ML and data engineering.

Requirements

5+ years of professional experience in machine learning, infrastructure, or related fields.
Experience with deep learning frameworks such as Pytorch or Huggingface, or LLM serving frameworks such as vLLM or TensorRT-LLM.
Experience building and scaling end-to-end machine learning systems.
Experience building scalable microservices and ETL pipelines.
Expertise in Python with familiarity in performant languages such as C++ or GoLang.
Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or an equivalent field.
An interest in research publications within the machine learning and software engineering communities.
Effective communicator with experience collaborating cross-functionally with other teams.

Technologies

Pytorch
Huggingface
vLLM
TensorRT-LLM
Python
C++
GoLang

Base Salary Range

$161,300 - $274,200 per year

Work Personas

ServiceNow classifies work arrangements by personas based on the nature of the work and location. Eligibility for a work persona may be determined by the distance between your primary residence and the nearest ServiceNow office, as verified by a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. Applicants with arrest or conviction records will be considered in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive candidate experience. If you require a reasonable accommodation to complete any part of the application process, or need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

Positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), may require export control approvals from government authorities. All employment is contingent upon ServiceNow obtaining any export licenses or approvals as required by applicable authorities.

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1d ago

Machine Learning Engineer, Agentic Application

ServiceNow Mountain View, CA

Mountain View, CA

1d ago

$140k - $217k/yr Full time Agentic Ai Ai Workflows Artificial Intelligence

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Job Description

Machine Learning Engineer, Agentic Application at ServiceNow in Mountain View, CA (onsite), salary USD 139,700 - 216,500 per year.

Responsibilities

Build and scale an integrated product infrastructure with intuitive interfaces that empower engineers and configurators to tailor generative AI models, including data collection and feedback loops, adapting to varied enterprise use cases, and delivering domain specific conversational experiences.
Create scalable API abstractions for the conversation platform that integrates with MSTeams, Slack, and Web, while exposing a neutral API for other parts of the engineering stack.
Enhance the dialog engine to support a broad set of conversational features, leveraging enterprise private knowledge in the cloud, and enable real time multilingual translation, all with a small memory footprint and low latency; streamline the developer workflow.
Promote coding best practices, robust API design, scalability, and performance optimization; cultivate a culture of excellence and continuous improvement among engineers.
Establish comprehensive visibility into conversational AI performance via a robust logging and tracing framework, accessible debugging and triage tools, and automated metrics for monitoring and analysis.
Collaborate closely with ML engineers, application engineers, product teams, and customer support to drive new features and scalability initiatives.

Requirements

A solid foundation in computer science and software engineering with experience building scalable systems.
Deep understanding of clean, modular, and scalable API design; ability to champion best coding practices and influence peers to uphold high quality code.
Passion for optimizing systems; proficient with tracing, logging, and metrics frameworks; systematic approach to identifying and resolving latency, race conditions, and throughput bottlenecks.
Ability to independently research new requirements and develop innovative solutions; thrives in fast paced coding and rapid iterations.
Strong communication and cross functional collaboration skills to articulate rationales and design approaches.
Bachelor's degree or higher in computer science or a related field.
2+ years of professional development experience, specifically in building systems at scale.

Technologies

MSTeams
Slack
Web

Benefits

Health plans
401(k) Plan with company match
ESPP
Matching donations
Flexible time away plan
Family leave programs
Equity (when applicable)

Work personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations EAR, ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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1d ago

AWS AI Engineer

Hudson Manpower Richmond, VA 🇺🇸 Remote

Richmond, VA

1d ago

Full time Backend Developer AI Ai Workflows

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Job Description

This role centers on delivering hands-on AI and cloud engineering in AWS, focusing on retrieval-augmented generation systems, LLM fine-tuning, and deploying AWS native microservices to support automation and governance in production. Based in Richmond, VA with remote work available.

Responsibilities

Hands-on execution of AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Develop LLM-based applications, with Retrieval-Augmented Generation using LangChain and similar frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Manage the software release lifecycle, overseeing CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate excellent verbal and written communication skills in English.

Requirements

Minimum seven years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, notably Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails, including SCPs and AWS Config.
Strong background implementing RAG architectures and LangChain.
Proven IaC practices and experience building Terraform modules for AWS.
Solid experience with Git-based version control, code reviews, and DevOps workflows.
Track record of delivering production-ready software with integrated release pipelines.

Technologies

Bedrock
SageMaker
ECS
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
AWS
Terraform Sentinel
Hugging Face
Node.js
Golang
Git

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) plan with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligibility for referral bonuses

What you’ll get

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligibility for referral bonuses

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1d ago

AWS AI Engineer

Hudson Manpower San Jose, CA 🇺🇸 Remote

San Jose, CA

1d ago

Full time AI Ai Workflows Artificial Intelligence

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Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to lead the hands-on development of AI and ML applications within AWS, with a focus on retrieval-augmented generation, fine-tuning LLMs, and enterprise-grade microservices for automation and governance.

Responsibilities

Hands-on practitioner leveraging AWS core services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Owns the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Develops LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Builds cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborates with internal stakeholders to translate business goals into secure, scalable AI systems.
Owns the software release lifecycle, including CI/CD pipelines, GitHub based SDLC, and infrastructure as code with Terraform.
Supports the development and evolution of reusable platform components for AI/ML operations.
Creates and maintains technical documentation for the team and internal customers.
Excellent verbal and written communication in English.

Requirements

Minimum seven years of hands-on software engineering experience with strong Python expertise.
Proficiency with AWS services, notably Bedrock and SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails such as SCPs and AWS Config.
Strong background in RAG architectures and LangChain.
Proven infrastructure as code practices and Terraform module development for AWS.
Solid Git-based version control, code reviews, and DevOps workflows.
Track record of delivering production-ready software with integrated release pipelines.

Technologies

Python
Bedrock
SageMaker
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
GitHub
Hugging Face
Node.js
Golang
AWS
SCP
AWS Config

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance offering
Eligible for referral bonuses

Supervisory Responsibilities

None

Nice-to-Haves

AWS or relevant cloud certifications
Policy as Code development experience such as Terraform Sentinel
Experience with Hugging Face, Golang, or Node.js
Exposure to FinOps and cloud cost optimization
Data science background or experience with structured and unstructured data
Awareness of data privacy and compliance best practices including PII handling and secure model deployment

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2d ago

Backend/AI Engineer

Left Main REI Charlotte, NC 🇺🇸 Remote

Charlotte, NC

2d ago

$100k - $140k/yr Full time Backend Developer Ai Workflows Amazon Web Services

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Job Description

Left Main REI is seeking a Backend/AI Engineer to design, build, and evolve backend services, data infrastructure, and GenAI-enabled features across Left Main products, with integrations to AWS, Snowflake, and Salesforce.

Responsibilities

Design, build, maintain, and optimize backend services and RESTful APIs that connect Left Main products with Salesforce, Snowflake, AWS, and external data providers.
Develop and operate serverless and cloud-native architectures using AWS services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, and Kinesis.
Create robust data-processing pipelines for real estate data ingestion, enrichment, scoring, subscriptions, matching, deduplication, and delivery into customer-facing applications.
Design Snowflake-backed workflows with SQL transformations, stored procedures, Snowpark or Python processing, and performance tuning.
Architect and implement GenAI driven capabilities, including role-based agents, retrieval-augmented generation, prompt workflows, AI-assisted analysis, customer-facing copilots, and internal productivity tools.
Prototype new AI use cases, assess feasibility, and transition promising experiments into secure, reliable production services.
Collaborate with Salesforce engineers to define integration patterns using Platform Events, APIs, asynchronous processing, and precise data contracts across Salesforce, AWS, and Snowflake.
Support predictive and ML-enabled use cases such as lead scoring, buyer scoring, property intelligence, recommendation workflows, anomaly detection, and customer insights.
Enhance reliability, observability, and operational maturity across backend systems through structured logging, monitoring, alerting, automated tests, and clear incident response practices.
Contribute to CI/CD, infrastructure automation, environment management, and deployment practices for backend and data services.
Bring ideas, technical curiosity, and product-minded thinking to roadmap discussions, architecture reviews, and innovation planning.

Requirements

2+ years of professional backend engineering experience building production-grade APIs, services, data workflows, or cloud-native systems.
Strong hands-on experience with Python for backend development, scripting, automation, data processing, or AI/ML workflows.
Experience building RESTful APIs and integrating systems through APIs, webhooks, event-driven patterns, or message-based architectures.
Solid working knowledge of AWS, particularly serverless or cloud-native services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, SQS, SNS, Kinesis, or similar.
Strong SQL skills and experience with modern data warehouses, preferably Snowflake.
Proven ability to design reliable, secure, observable, cost-conscious, and maintainable systems.
Familiarity with modern AI and GenAI development patterns, including LLM APIs, prompt engineering, RAG, embeddings, vector databases, model evaluation, agent workflows, or AI-assisted automation.
Ability to use contemporary AI development tools such as ChatGPT, Claude, Cursor, or GitHub Copilot to improve development speed, code quality, and documentation.
Experience with CI/CD pipelines, GitHub Actions, automated testing, infrastructure as code, or deployment automation.
Comfort working in a fast-moving startup environment where priorities evolve and engineers are expected to own outcomes beyond individual tickets.
Strong communication and collaboration skills to partner across product, engineering, data, Salesforce, and leadership teams.

Technologies

Python
AWS
Lambda
API Gateway
S3
IAM
CloudWatch
EventBridge
Kinesis
SQS
SNS
Snowflake
Snowpark
SQL
Salesforce
Salesforce Platform Events
GitHub Actions
GitHub Copilot
Cursor
ChatGPT
Claude
LLM APIs
prompt engineering
RAG
embeddings
vector databases

Benefits

401(k)
401(k) matching
Dental insurance
Flexible remote work arrangements
Life insurance
Paid time off
Vision insurance
Health insurance
Opportunities for professional growth and development
Collaborative and inclusive work culture
Salesforce certification incentives
Flexible schedule
Professional development assistance

Compensation

Salary range: USD 100,000 to 140,000 per year
Pay range: $100,000 - $140,000 per year
Generous benefits package
Paid holidays

Location and Work Arrangement

Location: Charlotte, NC, with remote work options

Work arrangement: Remote

Job type: Full-time

Licenses and Certifications

Salesforce Certification (Required)

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2d ago

Forward Deployment AI Engineer

GadellNet St. Louis, MO

St. Louis, MO

2d ago

$120k - $150k/yr Full time AI Ai Workflows Artificial Intelligence

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Job Description

GadellNet is seeking a Forward Deployment AI Engineer to work on site with client organizations in St. Louis, MO, delivering production-grade AI agents and automated workflows. This role blends hands-on engineering with direct client engagement to uncover operational pain points, design impactful AI solutions, and ship tangible improvements in real-world environments.

Responsibilities

Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar, including tool-use, memory, and multi-agent orchestration patterns
Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
Own the full delivery lifecycle from scoping and architecture to build, testing, handoff, and lightweight documentation
Train and enable client teams to maintain and iterate on solutions post-deployment
Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
Must be legally authorized to work in the United States without employer sponsorship now or in the future
2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
Working proficiency in Python and familiarity with REST APIs and cloud services
Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
Understanding of prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflow patterns
Ability to work independently in ambiguous, fast-moving client environments
Strong communication skills you can explain a vector database to a CFO without losing them

Technologies

Python, LangChain, LangGraph, AutoGen
OpenAI, Anthropic, Gemini
REST APIs, cloud services
Zapier, Make, n8n
Pinecone, Weaviate, Chroma

Compensation

USD 120,000 - 150,000 per yearly

Benefits

Health, vision, and dental insurance
Paid time off, including parental leave and volunteer time
Flexible work environment
Access to mental health services
Employee matching donation program
401k and employer matching

Position Summary

GadellNet is looking for a Forward Deployment AI Engineer. As an FDE, you will work directly inside our clients' businesses to design, build, and deploy AI-powered solutions that create real operational impact. You will be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that transform how these organizations operate.

Values

Make an Impact
100% Responsibility 0% Excuses
Grow or Die

Eligibility to Work in the US

GadellNet does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.