Principal Software Engineer – AI Systems for Engineering Workflows

Job Description This role owns the technical vision and execution for applying AI at scale across DevOps and productization workflows, with a mandate to fundamentally improve how software and firmware are built, tested, released, and operated. The position sits at the intersection of AI systems, developer platforms, and operational excellence, driving the design and rollout of intelligent, automated pipelines that move beyond static CI/CD toward predictive, self-healing, and data-driven execution. The focus is on replacing high-cost manual processes with scalable AI-powered mechanisms, improving end-to-end quality and velocity, and enabling reliable delivery across large, multi-team engineering environments. Success in this role requires operating at platform and ecosystem scale, setting architectural direction, and ensuring AI-enabled systems are secure, observable, governable, and resilient in long-lived production environments.

In This Role, Your Responsibilities Will Be:

• Lead the design and delivery of AI-enabled solutions for building, test, and release workflows of software products using approved enterprise technologies and enterprise-ready solution patterns.
• Identify engineering workflows that can be fully or partially offloaded to AI systems, reducing or eliminating repeated manual engineering effort.
• Design and implement scalable AI-powered solutions in engineering workflows such as build and test triage, failure analysis, flaky test intelligence, debugging assistance, and release decision support.
• Work hands-on with engineering teams to turn ideas into working solutions that can be rolled out in production.
• Own key initiatives from concept and architecture through development, rollout, validation, adoption, and ongoing improvement.
• Help define technical direction, propose practical architecture improvements, and influence how AI is introduced into critical engineering systems.
• Develop tools, supporting systems, and infrastructure that improve engineering productivity and enable sustainable AI adoption.
• Review technical designs and implementations, provide strong feedback, and mentor junior engineers.
• Establish practical approaches for evaluation, telemetry, monitoring, observability, and continuous improvement of AI-enabled systems.
• Design solutions that account for operational constraints such as rate limits, retry behavior, error handling, and production supportability.
• Collaborate with internal teams, domain experts, and junior talent to build solutions that can scale across the organization.
• Ensure all automation and intelligence align with Emerson’s reliability, safety, and regulatory commitments
• Act as a key technical leader, shaping the long-term roadmap for AI driven DevOps transformation across T&M.
• Partner with engineering leaders, architects, and operational teams to drive adoption of intelligent automation and data driven decision-making.
• Mentor teams on AI/ML fundamentals, emerging practices, and how to leverage automation to enhance product quality and operational performance.

Who You Are:

• You are an application-focused AI engineering leader who enjoys solving real workflow and engineering problems.
• You are comfortable operating as both an architect and a builder.
• You can take an ambiguous problem, create a practical solution approach, and drive it through execution.
• You understand what it takes to deploy systems at an organizational scale, including rollout, adoption, governance, observability, and long-term maintainability.
• You work well across teams, influence technical direction, and help raise the capability of the engineers around you.
• You are self-driven, pragmatic, and able to make sound trade-offs in evolving situations.

For This Role, You Will Need:

• B.E / B.Tech / M.Tech / MCA in Computer Science / Electronics / Electrical / Instrumentation / Artificial Intelligence / Machine Learning / related technical discipline.
• 8+ years of proven experience in software engineering, systems design, AI application engineering, or related technical roles. Minimum 3+ yearsexperience developing AI based applications.
• Hands-on experience with retrieval-augmented generation architectures, workflow automation, evaluation methods, platform integration, agentic systems, cost-aware AI design, and operationalizing AI-enabled systems in production, including monitoring, observability, feedback loops, and lifecycle management.
• St…