Senior AI/ML Engineer

Sourced from rolewatch.irfanmiral.com

PDW is seeking a Senior AI/ML Engineer to serve as the senior technical leader for enterprise AI, defining AI strategy, architecture, and technical roadmap while remaining hands-on building production capabilities. The role focuses on AI orchestration, production RAG systems, AI agents, model evaluation, and secure, governed AI workloads across cloud, GPU, and SaaS infrastructure. You will partner across engineering, manufacturing, IT, and cybersecurity teams to move high-value AI concepts into production. This is a hybrid position based in Denver, CO, requiring the ability to obtain and maintain a U.S. Security Clearance.

• Serve as senior technical authority for enterprise AI/ML, shaping strategy, architecture, and engineering standards
• Design and implement AI orchestration and control capabilities including model routing, auth, policy enforcement, observability, and cost management
• Build production RAG solutions spanning ingestion, chunking, embeddings, vector search, retrieval, reranking, and generation
• Develop AI agents and agentic workflows that securely integrate with enterprise applications, APIs, and data
• Build repeatable model evaluation and benchmarking frameworks across quality, latency, reliability, security, and cost
• Design, build, and operate production AI/ML applications, APIs, data pipelines, and infrastructure using CI/CD and MLOps practices
• Optimize AI workloads across SaaS, API, cloud, GPU, and self-hosted infrastructure including fine-tuning, quantization, and accelerated inference
• Implement AI security and governance controls including guardrails, access control, and protection against prompt injection and data leakage
• Establish AI engineering standards, reference architectures, and documentation while mentoring engineers

• 7+ years of progressive experience in software engineering, ML engineering, data engineering, or AI engineering with recent hands-on AI/ML work
• Bachelor's degree in Computer Science, AI, ML, Data Science, Mathematics, Engineering, or related STEM discipline, or equivalent experience
• Advanced proficiency in Python and experience building production software, services, APIs, data pipelines, and distributed systems
• Hands-on experience with PyTorch, TensorFlow, or JAX and strong ML fundamentals including neural networks, transformers, and embeddings
• Experience building production LLM applications including prompt engineering, structured generation, tool/function calling, and model APIs
• Experience designing and implementing RAG architectures with embeddings, vector databases, retrieval, reranking, and evaluation
• Experience building AI agents or agentic systems interacting with applications, APIs, and enterprise data
• Experience deploying AI/ML systems in production with automated testing, CI/CD, containers, monitoring, and MLOps
• Strong understanding of secure application architecture, identity and access control, and data protection
• Ability to obtain and maintain a U.S. Security Clearance

• Experience building enterprise AI platforms, AI gateways, or multi-model routing architectures
• Experience deploying and optimizing open-source models on GPU infrastructure including model serving and distributed inference
• Experience in aerospace, defense, robotics, manufacturing, or another regulated environment
• Experience working with sensitive or export-controlled information