Principal AI/ML Architect — Onsite Leader

Slalom; Hartford (CT); Hybride; USD 157 000 - 196 000; Plein temps

Avantages offerts par ce poste

401(k) with a match

Health insurance

Dental and vision coverage

Parental leave

Well-being reimbursement

Résumé du poste

Slalom is seeking an AI/ML Architect at the Principal level to design production-grade AI systems across AWS, Azure, and Google Cloud. You will lead cross-functional delivery teams and shape enterprise AI strategy, governance, and responsible AI practices.

The role requires 6+ years in ML/AI, 3+ years in consulting, strong Python and cloud experience, and hands-on GenAI patterns. You’ll mentor teams and support business development while collaborating with clients.

Qualifications

• 6+ years of experience implementing ML/AI solutions in production.
• 3+ years of experience in professional consulting or IT services, with proven ability to lead client-facing technical engagements.
• Hands-on experience designing production AI systems that combine models, data, retrieval, orchestration, APIs, security controls, observability, and user experience into an end-to-end architecture.
• Deep understanding of modern GenAI patterns, including advanced RAG, embeddings, vector and hybrid search, re-ranking, knowledge graphs, tool/function calling, structured outputs, context engineering, and multimodal inputs.

Responsabilités

• Architect and deliver enterprise-scale AI systems spanning data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, monitoring, optimization, and lifecycle management.
• Design secure, scalable, cloud-native and hybrid architectures across AWS, Azure, and Google Cloud, including modern AI platform services such as Bedrock, Vertex AI, and enterprise data platforms.
• Lead applied AI solution design across generative AI, agentic AI, multimodal AI, advanced RAG, knowledge assistants, prediction, optimization, and decision-support use cases.
• Enable production GenAI and agentic AI adoption, including tool calling, structured outputs, workflow orchestration, memory patterns, and human-in-the-loop controls.
• Define AI evaluation, observability, and reliability patterns, including offline test sets, automated evals, tracing, hallucination detection, quality scoring, latency/cost monitoring, feedback loops.
• Champion Responsible AI and AI security practices.

Connaissances

AI Architect

Production ML

Consulting

Python

Cloud platforms

MLOps

Data platforms

Team leadership

Outils

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Hugging Face

Description du poste

Slalom is seeking an AI/ML Architect at the Principal level to design production-grade AI systems across AWS, Azure, and Google Cloud. You will lead cross-functional delivery teams and shape enterprise AI strategy, governance, and responsible AI practices.

The role requires 6+ years in ML/AI, 3+ years in consulting, strong Python and cloud experience, and hands-on GenAI patterns. You’ll mentor teams and support business development while collaborating with clients.