Data Jobs in Long Beach, CA

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Forward-deployed AI Engineer

SCAN Group Long Beach, CA

Long Beach, CA

Today

$125k - $216k/yr Full time Backend Developer Agentic Ai Orchestration Ai Agent Platform

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Job Description

Embed with SCAN’s teams as a forward-deployed AI Engineer to uncover measurable AI opportunities and deliver production-grade, AI-enabled systems.

Responsibilities

Embed with SCAN’s teams to understand workflows, operational challenges, and strategic priorities
Lead discovery activities, including stakeholder interviews, workflow observation, process analysis, and opportunity assessment
Translate ambiguous business problems into technical requirements and measurable success criteria
Build trusted relationships with SCAN leaders and act as a strategic technology partner
Design, develop, test, deploy, and support AI-enabled applications using SCAN’s large language models (LLMs), AI agents, and retrieval-augmented generation (RAG)
Apply workflow automation, APIs, and modern software engineering practices to deliver enterprise solutions
Rapidly prototype solutions, validate concepts with users, and iterate based on business feedback
Build production-ready software using SCAN’s enterprise AI platform, including reverse-integration of new capabilities to the core platform
Evaluate emerging AI technologies and recommend approaches aligned to business needs
Translate complex business problems into scalable and maintainable technical architectures
Collaborate with architects, product managers, platform engineers, data engineers, and security teams to deliver enterprise AI solutions
Develop reusable components, patterns, and technical assets to accelerate future AI development
Contribute to engineering standards, best practices, and continuous improvement across the AI organization
Define measurable success metrics for AI solutions and monitor business impact after deployment
Continuously optimize solutions using operational data, user feedback, and changing business needs
Identify additional automation and AI opportunities through ongoing engagement with business partners
Support organizational adoption of AI through education, coaching, and change management
Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight
Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use
Document solution design, risks, controls, assumptions, and operational considerations for AI systems
Ensure AI solutions comply with organizational standards, regulatory requirements, and security policies

Requirements

Bachelor’s Degree or equivalent experience in Computer science, Engineering, or a related field
Deep applied understanding of LLM-based architectures, RAG, vector embeddings, prompt engineering, and agent orchestration
Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations
Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence)
Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Microsoft Agent Framework, etc.)
Ability to connect business requirements to technical solutions, build reusable components, and improve adoption and operational impact
Collaborative communicator comfortable engaging non-technical stakeholders and cross-functional teams
Curiosity, initiative, and continuous learning mindset; adapts quickly to new frameworks and technologies
Leadership skills, including developing others
Business insight, problem-solving ability, and a strategic mindset to create strategies that sustain competitive advantage
Business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies

Technologies

Python
REST APIs
FastAPI
LangChain
Microsoft Agent Framework
Azure AI Services
Azure AI Foundry
SharePoint
Microsoft 365
Teams
Confluence
LLMs
AI agents
Retrieval-augmented generation (RAG)
Vector embeddings
Prompt engineering
Agent orchestration
ML/LLMOps tooling
Enterprise AI platform

Experience

6+ years of experience (minimum requirement) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery

Benefits

Base salary range: $125,400 to $215,975 annually
Annual employee bonus program
Robust wellness program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) retirement saving plan with employer match
Robust employee recognition program
Tuition reimbursement
Opportunity to contribute to a team supporting members and community

Preferred Certifications or Licenses

Microsoft Certified: Azure AI Engineer Associate
Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development (beneficial)
Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics (advantageous)

Preferred Experience

Extensive 6+ years in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare
Hands-on experience (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions
Proven track record delivering enterprise-scale AI or digital transformation initiatives with cross-functional collaboration (business, healthcare, data, security, compliance, and technology)
Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services
Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms (highly valued)
Strong stakeholder management and communication skills, translating business needs into scalable technical solutions and driving adoption across diverse teams
Healthcare domain expertise, including regulatory and member-focused nuances (plus)

Location: Long Beach, CA (onsite)

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