Principal AI/ML Engineer

We are seeking a highly experienced and forward-thinking Senior Java Developer who combines deep software engineering expertise with a strong understanding of AI-Driven Development Lifecycle (AIDLC) practices. This individual will lead the adoption of AI-native engineering across teams, leveraging modern AI tools to accelerate software delivery, improve quality, and transform traditional development practices.
The ideal candidate is a seasoned hands-on engineer, technology strategist, and change agent who can define engineering roadmaps, evaluate emerging AI technologies, guide teams through AIDLC transformation, and establish best practices for AI-assisted software delivery. This role will play a critical part in evolving engineering teams from traditional SDLC models to AI-native delivery models.
Primary Responsibilities
Software Engineering Leadership
Design, develop, and optimize enterprise-scale Java applications using Java 17/21, Spring Boot, Microservices, REST APIs, and cloud-native architecture.
Lead technical design, architecture decisions, code reviews, and engineering best practices.
Develop scalable, secure, resilient, and highly maintainable software solutions.
Drive modernization initiatives including framework upgrades, cloud adoption, API modernization, and technical debt reduction.
Mentor engineers and technical leads across multiple teams.
AI-Assisted Engineering & AIDLC Adoption
Champion AI-Driven Development Lifecycle (AIDLC) practices across engineering teams.
Utilize AI tools such as GitHub Copilot, coding agents, AI testing tools, AI code review systems, and agentic workflows to improve engineering productivity.
Define and implement AI-first engineering standards, guardrails, and governance frameworks.
Drive adoption of specification-driven development, AI-generated testing, AI-assisted design, and agentic delivery practices.
Establish metrics to measure AI adoption, productivity gains, quality improvements, and delivery acceleration.
Coach teams on effective human-in-the-loop engineering practices.
Technology Strategy & Innovation
Continuously monitor industry trends related to AI, Generative AI, Agentic AI, Software Engineering, Cloud Platforms, and Developer Productivity.
Evaluate emerging tools, frameworks, and engineering methodologies.
Build technology roadmaps and adoption strategies aligned with business objectives.
Conduct proof-of-concepts and pilot programs for new AI technologies.
Present recommendations and business cases to engineering and executive leadership.
Establish reusable AI assets, prompts, agents, skills, and engineering accelerators. Engineering Transformation
Lead transformation of traditional Scrum teams into AI-enabled engineering pods.
Drive organizational change management for AI adoption.
Develop playbooks, standards, training programs, and implementation frameworks.
Influence engineering culture toward continuous learning and innovation.
Partner with architects, product leaders, QA, DevOps, and business stakeholders to institutionalize AI-native practices. Required Qualifications
Experience
Bachelor's degree in Computer Science, Engineering, or related field.
14+ years of software engineering experience.
8+ years developing enterprise Java applications.
5+ years in technical leadership or architecture roles.
Proven experience leading enterprise-scale modernization initiatives.
Demonstrated experience driving adoption of AI-assisted development practices.
Technical Skills
Strong expertise in:
Java 17/21
Spring Boot
Microservices Architecture
REST APIs
Event-driven Architecture
MongoDB
SQL Server / RDBMS
Hibernate / JPA
Kubernetes
Docker
Azure Cloud
CI/CD Pipelines
GitHub Enterprise
AI Engineering Skills
GitHub Copilot
AI Coding Agents
Prompt Engineering
Agentic Workflows
AI-Assisted Testing
Specification-Driven Development
AI Governance & Guardrails
AI Quality Validation
AI Productivity Measurement
Architecture & Engineering Practices
Domain-Driven Design
Secure Coding
Performance Engineering
Observability
DevSecOps
Cloud-Native Design Patterns

Work arrangement
No