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# Senior Generative AI Solutions Architect

- **Company:** LTM Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, COBOL (Programming Language), Continuous Integration, Data Control, IBM DB2, Identity and Access Management, Spring Framework, Python (Programming Language), OAuth, Datadog, Data Logging, Large Language Models, Prompt Engineering, Sybase, Software Security, AgentCore, Generative AI, Agentic-AI, Data Strategy, Cloudformation, CrewAI, Functional Programming, Api Gateway, Terraform
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/74969f06-f7c2-406e-9d6b-a096fa7b8cd2

## About the Role

This role does not offer Visa Sponsorship. Applicants must have Independent Authorization to work in the United States., * Must HaveGenAI Experience (Level 400) with Advanced Python

 * Experience building production grade systems
 * Fluency across all AI-DLC 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.

## Description

* Lead customers through full AI-DLC - 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
 * Enable customer to build more seamlessly on AWS by upskilling and the use of specialized agents