> Markdown version of [/jobs/ext/2282936-senior-ai-solutions-architect-generative-ai](https://www.wearedevelopers.com/jobs/ext/2282936-senior-ai-solutions-architect-generative-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Solutions Architect, Generative AI - **Company:** Amentum Services, Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $180,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Information Engineering, Machine Learning, Open Source Technology, Performance Tuning, Janus, Pytorch, Large Language Models, Multi-Agent Systems, Generative AI, AI Platforms, Information Technology, Machine Learning Operations - **Published:** August 28, 2026 - **Apply:** https://www.atlantacareerpath.com/job.asp?id=3367873943&tx=KL8787FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Senior technical judgment - ability to architect end-to-end AI systems with attention to performance, cost, security, and maintainability. * Track record of leading technical delivery in cross-functional environments. * Strong communicator - able to explain technical tradeoffs to executive and business audiences. * Comfortable in ambiguity; able to set technical direction and bring others along., * Typically 8+ years of progressive experience in AI development, machine learning engineering, or applied AI; 3+ years hands-on with Generative AI / LLM systems with a Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Master's or Ph.D. preferred. * Production experience deploying Generative AI / LLM applications, including RAG, agentic workflows, and tool-use patterns. * Hands-on AI/ML solution development across the full lifecycle - design, training/fine-tuning, evaluation, deployment, and monitoring. * Knowledge of AI frameworks (PyTorch, LangChain, LlamaIndex, Semantic Kernel, or equivalents) and foundation-model ecosystems (Azure OpenAI, AWS Bedrock, open-source). * Experience with AI pipelines, vector databases, and data engineering for AI workloads. * Cloud-native architecture experience on Azure (preferred), AWS, or GCP. * US Citizenship is required., * Experience deploying LLM-based applications in regulated or government environments. * Familiarity with Azure AI Foundry, Azure OpenAI Service, AWS Bedrock, and SageMaker. * Background in responsible AI, model risk management, NIST AI RMF, or EU AI Act categorization. * Experience with multi-vendor AI engagements, hyperscaler partner relationships, and Forward Deployed Engineering models. * Government or mission-driven environment experience; familiarity with FedRAMP, IL5/IL6, and ATO processes. * Active Secret or TS clearance. Work Environment: Hybrid; high technical collaboration across the AI COE hub, operating-group spokes, IT, and business teams. Work Schedule: Standard business hours with flexibility based on project demand; occasional travel to spoke sites and customer engagements. ## Description * Architect and deploy GenAI components for lighthouse AI projects. * Stand up the COE's GenAI reference architecture (RAG, agent orchestration, model routing, evaluation, and guardrails) on Amentum's two-cloud posture (Azure Commercial for COE, Azure Gov for customer-mandated programs). * Evaluate and recommend GenAI tools, models, and platforms; lead vendor technical evaluation across the multi-vendor RFI process. * Grow into broader COE technical leadership responsibilities - including spoke-team technical mentorship and AI Advisory Council technical readiness - over the first 6-12 months. Core Responsibilities * Design, develop, and deploy GenAI / LLM-based solutions to production for initial lighthouses, with measurable execution criteria. * Build and prototype AI applications that support enterprise, mission, and customer-facing use cases. * Work hands-on with foundation models, agent frameworks, RAG architectures, fine-tuning approaches, and evaluation harnesses. * Collaborate with the AI Solutions Architect - Programs & Delivery (peer role) on JANUS-tracked delivery and Council package preparation. * Integrate GenAI solutions into enterprise systems, mission workflows, and the AI platform under construction. * Contribute to the COE's reusable assets library, technical patterns, and AI engineering best practices - including responsible AI, model security, and governance. * Lead technical evaluation of vendor capabilities through the multi-vendor RFI and Forward Deployed Engineering engagements. * Mentor spoke-team technical leads and operating-group AI developers across the organization. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)