Lead Full Stack Developer - AI/ML Focus

DESCRIPTION

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.

RESPONSIBILITIES

Technical 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.

Full-Stack Development


* 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 GraphQL APIs.


* Implement testing, code quality pipelines, and DevOps 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.

AI/ML Engineering


* 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.

Cloud, Data, and DevOps


* Lead cloud architecture (AWS, Azure, GCP) with serverless and containerization.


* Implement CI/CD pipelines.


* Ensure strong security posture aligned with Zero Trust and SOC2.


* Support observability, monitoring, and data governance.

Execution Champion


* 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 adop...