About this role

Role: AIDDLC Engineer (Senior)

Location: US (remote)

Duration: 12 Months +

Key Responsibilities

Lead customers through the full AIDDLC - Assess, Design, Develop, Deploy & Operate - as both methodology practitioner and technical builder
Drive architecture decisions and framework execution across all phases; own supporting tooling and automation delivery
Run AI readiness workshops, use case prioritization, and maturity assessments with business and technical stakeholders
Own engagements end-to-end with minimal oversight; mentor teams and uplevel customers on AIDDLC practices

Must Have

5-7+ years building production-grade ML or GenAI systems; advanced Python
Fluency across all AIDDLC phases: Assess (readiness, use-case ID) Design (architecture, model/data strategy) Develop (build, integrate, evaluate) Deploy & Operate (launch, monitor, optimize)
Ability to facilitate structured AI workshops and translate phase outputs into customer-facing deliverables and roadmaps
Agentic framework experience (Strands, LangGraph, CrewAI or similar); prompt and context engineering
AWS Bedrock (Models, Guardrails); Lambda, API Gateway, S3, IAM, IaC (Terraform or CloudFormation)

Should Have

Bedrock AgentCore Services (Runtime, Evaluations, Observability, Memory)
Agent evaluation experience (offline regression, online monitoring, LLM-as-judge)
Observability tooling (logging, metrics, tracing); CI/CD pipeline setup
API Security (OAuth2, ApiKey, BasicAuth)
Enterprise change management and AI adoption frameworks
Legacy technology familiarity (Java/Spring, Sybase, DB2, or COBOL) as source context for agentic modernization or integration pattern design
Financial services or regulated-industry experience (compliance-aware delivery: trade surveillance, data controls, audit requirements)
Large-scale portfolio delivery experience - reusable patterns or components applied across 50+ applications, including wave planning and throughput measuremen

AIDDLC Engineer

Key skills