AI/ML Platform Architect

Nexgen Technologies•Lakewood, CO

5d•$150,000 - $175,000•Remote

About The Position

NexGen Technologies is seeking an AI/ML Platform Architect to serve as a Key Personnel role and the single point of authority for artificial intelligence architecture on a major federal modernization program. NexGen must own the AI architecture for this program, and this position is responsible for designing, governing, and directing all AI/ML platform capabilities across delivery teams and program phases. The AI/ML Platform Architect performs advanced, professional work requiring the consistent exercise of discretion and independent judgment in defining AI architecture, managing AI related risk, and ensuring legally defensible, compliant AI system design. This role owns the end-to-end AI platform architecture, including multiagent orchestration, dual LLM configuration strategies, retrieval augmented generation (RAG) architecture, GeoAI integration, and controls to mitigate prompt injection and other AI specific threats. The position is government facing and leads architectural engagement with stakeholders on AI approach, roadmap, risk management, and Assessment & Authorization (A&A) alignment. There are no formal supervisory responsibilities. This position exercises architectural authority and technical governance across multiple teams without direct personnel management.

Requirements

Minimum of ten years of experience in AI/ML architecture, advanced machine learning, or applied AI roles.
Demonstrated experience serving as an architectural authority for complex, production AI platforms.
Hands on experience designing and governing multiagent AI systems in regulated environments.
Strong experience with LLMs, RAG architectures, and AI integration patterns.
Experience designing AI systems for federal or highly regulated environments.
Strong technical leadership, risk management, and executive communication skills.
Ability to work independently and collaboratively in a regulated federal environment.
Strong analytical, problem-solving, and communication skills.
Must be able to pass background screening prior to employment.
US Citizenship, legal permanent residence, or US work authorization with minimum 3 years of US presence is required due to federal contract requirements.

Nice To Haves

Experience with GeoAI, spatial analytics, or GIS integrated AI solutions.
Experience designing AI systems with auditability, explainability, and legal defensibility as core requirements.
Strong familiarity with Azure based AI services and cloud hosted AI platforms.
Prior experience supporting civilian federal agencies.

Responsibilities

Serve as the single point of architectural authority for all AI/ML capabilities on the program, owning and directing the AI platform architecture end-to-end.
Design, define, and govern the AI/ML platform, including architectural standards, patterns, and guardrails used by all delivery teams.
Lead and direct multiagent orchestration architecture, including agent roles, coordination patterns, and inter agent communication models.
Design and govern dual LLM configuration strategies to balance performance, cost, risk, and explainability across use cases.
Define and own retrieval augmented generation (RAG) architecture, including data sourcing, indexing strategies, grounding controls, and response traceability.
Design and integrate GeoAI capabilities, ensuring spatial data and GIS services are safely and effectively incorporated into AI workflows.
Establish and enforce controls to mitigate prompt injection, data leakage, and other AI specific security risks.
Design AI architectures that are legally defensible, auditable, and aligned with federal oversight, records retention, and compliance requirements.
Serve as the government facing AI technical authority, leading discussions on AI design decisions, tradeoffs, risks, and mitigation strategies.
Define the AI technical roadmap, sequencing capabilities across program phases in alignment with mission priorities and compliance milestones.
Direct coordination with security, DevSecOps, data, and application teams to ensure integrated execution of the AI architectural vision.
Lead AI related governance activities, including architectural reviews, technical risk assessments, and executive briefings.
Perform other duties as assigned.