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AI Architect

eTeam Inc.

California, CA

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JOB DETAILS
SALARY
$45–$46 Per Hour
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Blueprints, Competitive Analysis/Strategy, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Modeling, Data Science, Deep Learning, Docker, Experiment Design, Finance, Financial Services, Forecasting, GCP (Good Clinical Practices), Healthcare, Information Retrieval, Internet Security, Machine Tool, Market Trend Analysis, Natural Language Processing (NLP), Open Source, Operations Research, Problem Solving Skills, Production Control, Production Systems, Productivity Management, Python Programming/Scripting Language, SQL (Structured Query Language), Sarbanes-Oxley Act (SOX), Shallow Parsing, Software Development, Software as a Service (SaaS), Statistics, System Architecture, Technical Publications, Technical Strategy, Telemetry
LOCATION
California, CA
POSTED
16 days ago
AI Architecture & System Design
AI system architectures: multi-agent orchestration layers, RAG pipelines, hybrid retrieval systems (knowledge graphs + vector search), text-to-SQL engines, and real-time inference APIs.
Define and own technical blueprints for new AI products from data ingestion and embedding pipelines through to response generation, evaluation, and production monitoring.
Solve hard engineering problems: latency, precision/recall trade-offs, context window management, hallucination mitigation, and cost-efficient LLM usage at scale.
Make deliberate, well-documented architecture decisions with clear trade-off analysis (build vs. buy, framework selection, deployment topology).


Implementation
Write production-quality code Python, SQL, API services across the full AI lifecycle: data qualification, model training, evaluation, containerised deployment, and API serving.
Build and own reusable, framework-quality components (chunking pipelines, retrieval layers, agent tool-calling modules) that accelerate team velocity.
Own CI/CD pipelines, Docker-based deployment, and production telemetry for AI services.


AI Market Intelligence & Technology Strategy
Track and evaluate the AI landscape new LLMs, agentic frameworks (LangGraph, Google ADK, CrewAI, AutoGen), retrieval methods, fine-tuning techniques, and emerging tooling.
Translate AI market trends into actionable roadmap inputs surfacing opportunities for step change capability improvements before competitors do.


Cross-Functional Technical Partnership
Partner closely with Product, Data Science, and Platform Engineering to align AI architecture with product direction, data constraints, and infrastructure capabilities.
Communicate complex technical trade-offs clearly to non-technical stakeholders translating architecture decisions into business impact narratives.

Must-Have Experience
12+ years of hands-on experience in AI/ML engineering and data science, with significant depth in production system delivery.
Deep, working expertise in LLM application development: LangChain, LangGraph, tool-calling agents, RAG, prompt engineering, embedding pipelines, and hybrid retrieval.
Proven track record architecting and shipping multi-agent systems, knowledge graph-powered retrieval (Neo4j or equivalent), and real-time inference APIs.
Strong ML fundamentals: XGBoost, deep learning, NLP, time-series forecasting, propensity modelling, experimental design, and causal inference.
Experience delivering AI systems in regulated industries (financial services, cybersecurity, healthcare) with SOX, GDPR, or SOC 2 compliance awareness.
Expert-level Python and SQL; fluency with GCP, AWS, Docker, FastAPI, BigQuery, FAISS, and CI/CD tooling.


Technical Depth
Ability to design hybrid retrieval architectures that balance precision (graph traversal) and semantic recall (vector similarity), with reranking layers not just off-the-shelf RAG.
Hands-on experience reducing LLM inference latency in production (e.g., redesigning pipelines from multi-minute to sub-30-second response times).


QUALIFICATIONS
Master's or PhD in Computer Science, Operations Research, Statistics, or a related quantitative field
AWS Certified Machine Learning Engineer or GCP Professional ML Engineer certification.
Completion of an AI Strategy or AI Governance programme.
Prior experience at a data science / ML services firm, enterprise SaaS, or fintech where you shipped AI to external customers, not just internal tools.
Hands-on experience with Snowflake Cortex or comparable enterprise LLM deployment platforms.
Open-source contributions to AI/ML tooling, published technical writing, or conference presentations.

About the Company

e

eTeam Inc.

Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.
COMPANY SIZE
100 to 499 employees
INDUSTRY
Other/Not Classified
FOUNDED
1998
WEBSITE
www.eteaminc.com

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