AI Evangelist (Hands on Technologist) (Hybrid, San Leandro, CA)

AI Evangelist (Hands on Technologist) (Hybrid San Leandro CA)

We are seeking a hands on AI Evangelist who can turn ideas into shipped capabilities-applying generative and agentic AI to enhance existing products and build new tools. This is a role at at a Financial Services Client.

This is a 12 month project (extensions possible) 40 hours per week Must work 3 days onsite at the clients offices in San Leandro CA.

This is a w2 role as a Stage 4 Solutions employee with Healthcare benefits and 401K offered. MUST be US Citizen Green Card Holder TN or EAD Visa holder. OPT or H1B visa holders can not be considered.

Responsibilities:

• Educate & influence: Lead demos brown bags and workshops to raise AI fluency across product engineering and business teams; translate complex AI concepts into clear outcome oriented narratives.
• Discover value: Run structured discovery (problem framing ROI/feasibility) to identify high leverage AI use cases in current applications and greenfield tools.
• Prototype fast: Build end to end proofs of concept (POCs) using LLMs and agent frameworks moving from idea prototype in weeks not months.
• Integrate & ship: Partner with product and platform teams to embed AI features into existing stacks (APIs/services front end surfaces workflows) hardening POCs for production.
• Agentic systems: Design agent workflows (planning tool use retrieval guardrails) for tasks like intelligent assistance automation and decision support.
• Architecture & ops: Define reference architectures for RAG tools/plugins orchestration observability evaluation and cost/performance tuning.
• Governance: Embed Responsible AI (safety privacy security compliance) data governance and evaluation frameworks (offline/online) into delivery.
• Measurement: Establish success metrics (quality latency adoption cost per task deflection NPS/CSAT) and run experiments/A B tests to validate impact.
• Partner ecosystem: Evaluate vendors and open source components; guide build vs buy decisions; contribute reusable assets and playbooks.
• Champion change: Remove adoption blockers capture learnings and scale wins via internal communities templates and enablement content.

Technical Environment:

• Cloud & Models: Azure OpenAI / Bedrock / Vertex; Open weight models where appropriate.
• Frameworks: LangChain LangGraph LlamaIndex semantic search/vector DBs.
• Data & Services: REST/GraphQL event streams RAG over internal content stores; Redis/Elastic; SQL/NoSQL.
• Ops & Quality: GitHub/GitLab CI/CD IaC telemetry (e.g. OpenTelemetry) eval harnesses canary/A B testing.

Requirement:

• Total 10 years of experience in Software engineering with 8 years in ML engineering (or equivalent) with 2 years delivering generative AI features or platforms end to end.
• Demonstrated ability to prototype and code: one or more of Python/TypeScript/Java plus modern API and microservice patterns.
• Hands-on with LLMs and agentic patterns: prompt engineering RAG tool calling/function calling agents/planners evaluation.
• Experience with at least one cloud (Azure OpenAI AWS Bedrock Google Vertex AI) and vector/search stacks (Pinecone FAISS Elasticsearch/OpenSearch pgvector).
• Familiarity with LangChain/LangGraph LlamaIndex OpenAI/Claude APIs and model hosting (managed endpoints or self hosted).
• Solid understanding of security privacy governance PII handling prompt injection mitigation abuse monitoring and auditability.
• Interpersonal excellence: persuasive communicator and facilitator; comfortable with exec briefings and hands on pairing with engineers.

• Preferred: Experience operationalizing AI features: eval harnesses (LLM as judge/human in the loop) observability (trace logs prompt/versioning) and cost/perf tuning
• Preferred: Background in MLOps (feature stores CI/CD for ML model/version management) or platform engineering for AI services.
• Preferred: Domain experience in regulated industries (e.g. financial services healthcare) and threat modeling for AI systems.

• Bachelors Degree

Please submit your resume to our network at

(please apply to the AI Evangelist (Hands on Technologist) (Hybrid San Leandro CA) role.)

Please feel free to forward this project opening to others who may be interested.

Stage 4 Solutions is an equal opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates qualifications without regard to race color religion/belief national origin gender identity age disability marital status genetic information or other applicable legally protected characteristics.

Compensation: $60/hr - $63/hr

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