AI Architect / Solution Engineer
SRS Consulting Inc
Cambridge, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Cambridge, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Databases
Information Engineering
Data Warehousing
Identity and Access Management
Routing
Role-Based Access Control
Search Technologies
Data Logging
Enterprise Software Applications
Large Language Models
Prompt Engineering
Caching
Generative AI
Information Technology
GraphQL
Data Management
Machine Learning Operations
Api Design
Microservices
Requirements
Generative AI & LLM Engineering
- Handson experience with LLMs, prompt engineering, and embeddings
- Experience designing and implementing agentbased workflows and tool orchestration frameworks
- Proven implementation of guardrails, validation layers, and hallucination mitigation techniques
- Experience with automated evaluation, testing, and benchmarking of GenAI systems
Architecture & Engineering
- 10+ years of enterprise software or data platform engineering experience
- Strong background in microservices architectures and API design using REST and GraphQL
- Proven ability to design and deploy cloudnative solutions on Azure or AWS
LLMOps / MLOps & Platform Operations
- Experience operationalizing AI systems in production environments
- Experience implementing monitoring, logging, alerting, rollback, and resilience strategies
- Strong understanding of LLM cost management, including token controls, caching, routing, and model selection
Data & Integration
- Strong data engineering skills with enterprise data platforms such as lakehouses or data warehouses
- Handson experience with vector databases and semantic search technologies
- Experience building document ingestion pipelines for unstructured content including policies, PDFs, and audit evidence
Security, Privacy & Auditability
- Securebydesign engineering experience including IAM, RBAC, secrets management, and encryption
- Experience designing auditready AI systems with traceability and explainability
- Ability to implement comprehensive evidence logging to support audit and compliance requirements
Communication & Stakeholder Management
- Proven ability to partner effectively with Internal Audit, Risk, Compliance, Security, and Technology teams
- Strong communication skills to explain complex technical concepts to both technical and nontechnical audiences, * Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field
- 3+ years delivering AI, ML, or Generative AI solutions in production environments
- Strong handson experience with Azure or AWS
