Intuitive.Cloud
AIDDLC Engineer
Skills
10 days ago
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Important information
Contract type:
Freelance / Contract
Location:
United States
Work mode:
Onsite
Published on:
18 October 2026
What they need
About us:
Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.
Intuitive Superpowers:
DataOps & AI/ML
Cloud Native, AppSecOps, DevSecOps
Cloud Migration & Transformation
Cloud FinOps
Cybersecurity (App/Data/Infra) & GRC
SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
About the job:
Title: AIDDLC Engineer
Location: Remote across USA
Position Type: Full Time
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 measurement
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