2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Drive AI-led margin acceleration by identifying high-impact opportunities and delivering Generative AI, Agentic AI, and Classical Machine Learning solutions for industrial applications.
- Lead Autonomous Framework execution, including operating cadence, milestones, dependencies, releases, progress reporting, risks, blockers, and required actions.
- Define objectives, scope, success criteria, and decision gates for AI initiatives while managing dependencies and contributing to prioritization and build-versus-buy decisions.
- Design, prototype, develop, and implement AI solutions and provide technical leadership across product, platform, architecture, technology partners, and pilot customers.
- Act as a senior AI subject-matter expert and progressively build and lead a small team of AI engineers as the function scales.
Requirements
- 15+ years of experience in software engineering, data science, or analytics, including 7+ years of hands-on experience in Generative AI, Agentic AI, and/or Classical Machine Learning.
- Strong hands-on expertise in LLMs, RAG, MCP, agentic orchestration, agentic harnesses, and agentic architecture, with proven industrial AI delivery experience.
- Experience developing Classical Machine Learning and Neural Network models, with strong knowledge of MLOps and cloud or edge deployment.
- Experience driving execution across multiple teams and technology partners, influencing without direct authority, and managing complex dependencies, risks, and delivery milestones.
- Strong understanding of AI solution architecture, experimentation, prototyping, and production deployment, with the ability to translate business priorities into executable AI workstreams.
- Strong communication, stakeholder-management, and leadership skills, including the ability to explain complex technical concepts to senior leadership and structure ambiguous initiatives.
- BE, BTech, ME, or MTech in Engineering, Computer Science, or a related field; an advanced degree is preferred.
- Experience in industrial software, process automation, energy, autonomous operations, asset performance, manufacturing execution, or energy management is advantageous.
- Exposure to Microsoft and Cognite ecosystems and scaled Agile or program execution is advantageous.
Benefits
- Hybrid work model.
- Opportunity to build and lead a small team of AI engineers as the function scales.
Categories
About ABB
ABB builds electrification, robotics, motion, and process automation hardware and software for industrial, utility, transportation, and infrastructure customers. Its portfolio spans motors and drives, robots, PLCs, switchgear, and EV charging, sold as equipment, systems, and services under the ABB Ability platform. Formed in 1988 and headquartered in Zurich, it is a public company traded on the SIX Swiss Exchange and NYSE.