Stage 4 Solutions

Compensation

Full Description

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 client’s 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. • Bachelor's Degree Please submit your resume to our network at http://www.stage4solutions.com/careers (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