AI Lead , Autonomous

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

In short

ABB is seeking an experienced AI Lead for their Autonomous Framework program in Bangalore. This hybrid role involves hands-on technical leadership in Generative AI, Agentic AI, and Classical Machine Learning for industrial applications, driving solution design, prototyping, and delivery.

Responsibilities

Drive AI-led margin acceleration and hands-on AI delivery by identifying high-impact AI opportunities and directly contributing to solution design, prototyping, development and implementation using Generative AI, Agentic AI and Classical Machine Learning for industrial applications.
Lead Autonomous Framework execution and program visibility by establishing the operating cadence, managing milestones, dependencies and releases, maintaining execution visibility, and providing concise, decision-ready updates on progress, risks, blockers and required actions.
Drive execution discipline, technical feasibility and stakeholder coordination by defining clear objectives, scope, success criteria and decision gates for AI initiatives, managing cross-functional dependencies, addressing risks and blockers, and providing input into prioritization and build-vs-buy decisions.
Build technical capability and partner alignment by acting as a senior AI SME, collaborating with architects, product teams, platform teams and partners such as Microsoft and Cognite, and progressively building and leading 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 experience delivering AI solutions in industrial domains.
Proven experience developing Classical ML and Neural Network models, with strong knowledge of MLOps and cloud/edge deployment.
Demonstrated experience in driving execution across multiple teams and technology partners, influencing outcomes 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 technically feasible and executable AI workstreams.
Strong communication, stakeholder-management and leadership skills, with the ability to simplify complex technical concepts for senior leadership and bring structure to ambiguous and rapidly evolving initiatives.
BE/BTech/ME/MTech in Engineering, Computer Science or a related field; advanced degree preferred.

Desired Qualifications

Experience in industrial software, process automation, energy, autonomous operations, asset performance, manufacturing execution or energy management.
Exposure to Microsoft/Cognite ecosystems and scaled Agile/program execution is an added advantage.

Skills

Generative AIAgentic AIClassical Machine LearningLLMsRAGMCPNeural NetworkMLOpsAgile

#AI#Autonomous#Industrial Software#Machine Learning#Generative AI#Agentic AI#LLMs#RAG#MCP#MLOps#Cloud Deployment#Edge Deployment#Agile

About ABB

We are a technology leader in electrification and automation, enabling a more sustainable and resource-efficient future.

ABB is a technology leader in electrification and automation, enabling a more sustainable and resource-efficient future. The company’s solutions connect engineering know-how and software to optimize how things are manufactured, moved, powered and operated. Building on more than 130 years of excellence, ABB’s ~105,000 employees are committed to driving innovations that accelerate industrial transformation. www.abb.com\nPrivacy notice & house rules: https://social.abb/social-media-information\n\nBefore applying for a job at ABB , please read our Fraud Warning:…

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