Lead Full Stack Developer - AI/ML Focus Seattle, WA Hybrid Posted
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-01-12
Listing for:
Michael Baker International, Inc.
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing
Job Description & How to Apply Below
Michael Baker International is seeking a highly skilled Lead Full Stack Developer with deep AI/ML expertise to architect, build, and scale intelligent, data-driven applications across our enterprise ecosystem. This role combines strong hands‑on engineering capabilities with technical leadership, guiding cross-functional teams in delivering modern, scalable, and AI-enhanced digital experiences. This role will collaborate on efforts to advance automation, middleware integration, and developer experience improvements, supporting innovation through emerging technologies for distributed AI workloads.
RESPONSIBILITIESTechnical Leadership
- Lead end-to-end architecture, design, and development of full-stack applications with AI/ML components.
- Drive best practices in coding, scalability, security, CI/CD, and cloud-native development.
- Coach and mentor developers, data engineers, and ML engineers.
- Own solution design reviews, technical roadmaps, and architectural decisions.
- Develop high-performance front-end interfaces using modern frameworks (React, Next.js, Angular, Vue).
- Architect secure, scalable backend services using Node.js, Python, Go, or Java.
- Build RESTful and Graph
QL APIs. - Implement testing, code quality pipelines, and Dev Ops workflows.
- Integrate real-time data streams for AI-driven features.
- Leverage enterprise frameworks (.NET 8, ASP.NET Core) and cloud-native orchestration (Azure AKS, Kubernetes, Helm) for scalable AI deployments.
- Incorporate MCP servers and distributed compute frameworks to support large-scale AI/ML inference and training.
- Productionize ML models and integrate them into real-world applications.
- Build ML-driven features such as recommendation engines, anomaly detection, and NLP.
- Design data pipelines, feature stores, vector databases, and inference layers.
- Optimize model performance and deployment strategies.
- Implement model drift detection, automated retraining pipelines, and AI observability frameworks.
- Research and prototype emerging AI technologies (LLMs, GenAI, RAG architectures).
- Ensure responsible and ethical AI deployment practices.
- Explore advanced AI applications such as digital twins and immersive analytics to accelerate innovation.
- Lead cloud architecture (AWS, Azure, GCP) with serverless and containerization.
- Ensure strong security posture aligned with Zero Trust and SOC
2. - Support observability, monitoring, and data governance.
- Define and execute enterprise AI/ML strategies aligned with key business outcomes.
- Champion best practices in data engineering, MLOps, and cloud optimization.
- Champion AI governance, compliance, and ethical AI principles across all solutions.
- Promote cross-functional AI adoption and educate stakeholders on AI capabilities and limitations.
- Lead and mentor AI/ML engineering teams.
- Collaborate with data scientists, ML engineers, and business stakeholders to deliver impactful solutions.
- Translate business requirements into scalable AI/ML strategies.
- Bachelor’s degree in Computer Science or related field, or similar, or equivalent experience.
- Any 8+ years of full-stack engineering experience.
- Strong AI/ML experience with Tensor Flow, PyTorch, Scikit-Learn, or similar.
- Experience deploying ML models and integrating AI features into applications.
- Proficiency in microservices, distributed systems, and cloud platforms.
- Strong SQL/No
SQL experience and API design skills. - Experience with enterprise-grade frameworks (.NET 8, ASP.NET Core) and cloud-native orchestration across Azure, AWS, and GCP, including Kubernetes and Helm.
- Knowledge of identity and security frameworks (OAuth 2.0, OIDC).
- Familiarity with MCP servers and distributed compute frameworks for AI scalability.
- Data or AI/ML related certifications.
- Experience with GenAI, LLMs, vector search, RAG architectures.
- Experience with MLOps tools (Kubeflow, MLFlow, Sage Maker).
- Prior experience in regulated industries.
- Open-source contributions.
- Strong problem-solving and systems-thinking abilities.
- Ability to lead cross-functional teams.
- Passion for innovation and continuous learning
The approximate compensation range for this position is $130,000 to $170,000. This compensation range is a good-faith estimate for the position at the time of posting. Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location.
BENEFITSWe offer a comprehensive benefits package including:
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Life, AD&D, short-term, and long-term disability
- Professional and personal development
- Generous paid time off
- Commuter and wellness benefits
- Job Identification 308818
- Posting Date 11/24/2025, 03:20 AM
- Job Schedule Full time
- Locations 320 South Teller Street, Lakewood, CO, 80226, US (Hybrid)
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