AI Principal Engineer

Responsibilities

• Embed with business teams to deeply understand workflows, pain points, and opportunities for automation and optimization
• Design and build AI-powered tools that improve internal productivity across functions such as finance, HR, operations, sales, and marketing
• Rapidly prototype and iterate using modern AI/ML technologies (e.g., LLMs, Copilots, automation pipelines)
• Deploy solutions in production, ensuring reliability, usability, and measurable impact
• Bridge technical and non-technical teams, translating business problems into scalable engineering solutions
• Drive end-to-end delivery from problem discovery to implementation, rollout, and adoption
• Create reusable frameworks and platforms to accelerate future AI deployments across the organization
• Operate globally, collaborating with distributed teams and delivering solutions that scale across regions

Requirements

• Core Skills
• 7-10+ years of experience in software engineering, machine learning, or applied AI
• Strong experience designing and deploying production-grade systems in cloud environments
• Experience building and deploying AI/ML systems, ideally with LLMs or generative AI
• Experience in building, orchestrating, monitoring agentic/multi-agentic AI workflows
• Ability to work across the stack (APIs, data pipelines, front-end interfaces when needed)
• Deep understanding of system design, distributed systems, and scalable architectures
• Solid system design skills with a focus on scalability, reliability, and security
• Knowledge of data engineering and analytics workflows
• Experience working in global, cross-functional teams
• Familiarity with governance, security, and compliance considerations for enterprise AI
• Problem-Solving & Mindset
• Proven ability to navigate ambiguity and move quickly in fast-paced environments
• Strong product and user mindset focused on delivering practical, impactful solutions
• Excellent communication skills; able to work directly with stakeholders across all levels
• High ownership and bias for action, ability to support multiple workstreams in parallel
• Strong experience in mentoring and guiding team members to make good decisions
• Familiarity with enterprise systems (ERP, CRM, workflow tools)
• Experience across Azure AI, Microsoft Copilot, and the broader Microsoft ecosystem
• Experience implementing AI tools, GenAI services, building and orchestrating agentic AI workflows in real-world business processes
• Experience in forward-deployed, solutions engineering, or consulting-style roles
• Background in process optimization, automation, or digital transformation initiatives
• Why Join Us
• High impact: Your work will directly improve how the company operates
• Speed & autonomy: We are an agile team that ships quickly and iterates continuously
• Broad exposure: Work across all business functions and geographies
• Cutting-edge tech: Build with the latest AI technologies and shape how they are applied internally
• Ownership: Drive projects end-to-end and see immediate adoption of your work
• Success in This Role Looks Like
• Identifying and delivering high-impact AI use cases that reduce manual work and
• increase efficiency
• Shipping production-ready solutions in weeks, with strong adoption across teams
• Building scalable, reusable AI capabilities across the enterprise
• Acting as a trusted technical partner to both engineering and business stakeholders
• This is a hybrid role. Candidates must be based in Chennai or Pune, with occasional in-person attendance required at one of our offices.

Benefits

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Nielseniq? Share your experience