Senior GenAI Platform Architect

Fractal; Massachusetts; Sur place; USD 120 000 - 150 000; Plein temps

Avantages offerts par ce poste

401(k) Plan

Paid Holidays (11)

Parental Leave (12 weeks)

PTO policy

Résumé du poste

Fractal is seeking a Senior GenAI Engineer to design and maintain scalable AI platforms on AWS, focusing on Generative AI, Agentic AI, and RAG. You will lead the development of enterprise‑grade AI solutions, integrate multi‑agent workflows, and drive foundation model integrations with Bedrock.

The role emphasizes governance, observability, security, and scalable software engineering practices, with mentorship of engineers and collaboration across teams. Cambridge, MA onsite opportunity.

Qualifications

• 8–10 years of software engineering experience with at least 3+ years in GenAI/AI solution development.
• Strong hands‑on experience building production‑grade Generative AI solutions.
• Expertise in Agentic AI, AI Agents, multi‑agent architectures, tool calling, function calling, orchestration.
• Strong experience designing and implementing RAG architectures, including embeddings and vector databases.
• Hands‑on experience with Amazon Bedrock, model orchestration, prompt engineering, and deployment patterns.
• Deep understanding of LLMs, evaluation, and deployment patterns.
• Strong proficiency in Python backend development and API implementation.
• Experience with AWS services (Bedrock, Lambda, ECS/EKS, S3, CloudWatch, DynamoDB, OpenSearch).
• Experience with Terraform and IaC for cloud automation.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of AI observability, telemetry, and monitoring.
• Knowledge of relational, NoSQL, vector, and graph databases.
• Experience with security, governance, and responsible AI frameworks.

Responsabilités

• Design, develop, and maintain scalable GenAI platforms on AWS.
• Architect and implement multi‑agent AI solutions and tool integrations.
• Design RAG solutions using embeddings, vector stores, and semantic search.
• Build AI applications on Bedrock for inference and orchestration.
• Develop reusable platform components, APIs, and accelerators.
• Create knowledge graphs and vector databases for AI use cases.
• Create evaluation benchmarks for quality, latency, and safety.
• Implement governance, guardrails, and compliance controls.
• Develop observability with telemetry, monitoring, and dashboards.
• Build cloud‑native microservices and APIs using Python.
• Automate infrastructure with Terraform and IaC practices.
• Develop CI/CD pipelines for AI and cloud workloads.
• Collaborate with cross‑functional teams to drive adoption.
• Mentor junior engineers and contribute to architecture reviews.

Connaissances

GenAI Solutions

Agentic AI

LLM Knowledge

Python Backend

AWS Cloud

Terraform IaC

CI/CD Pipelines

Observability

Security & Governance

Architecture Leadership

Outils

Amazon Bedrock

Terraform

Docker

Kubernetes

OpenSearch

LangChain

OpenTelemetry

MLflow

Grafana

Prometheus

Neo4j

Description du poste

Fractal is seeking a Senior GenAI Engineer to design and maintain scalable AI platforms on AWS, focusing on Generative AI, Agentic AI, and RAG. You will lead the development of enterprise‑grade AI solutions, integrate multi‑agent workflows, and drive foundation model integrations with Bedrock.

The role emphasizes governance, observability, security, and scalable software engineering practices, with mentorship of engineers and collaboration across teams. Cambridge, MA onsite opportunity.