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SME – AI DevOps – HAP

Unilever
NewPosted today

LOCATION

Uniops Bangalore Centre · Onsite

EXPERIENCE

Not specified

TYPE

FullTime

SKILLS REQUIRED

Microsoft AzureCloud ArchitectureautomationPrompt EngineeringRetrieval Augmented Generation

Job description

Overview

As the Subject Matter Expert for AI DevOps within HAP, you will bring hands-on expertise across the development, deployment and operation of AI, Agentic AI and automation solutions, working with business teams to recommend technology, build proof of concepts and minimum viable products, and guide solutions into production at scale.

What you'll do

  • Partner with business teams across markets and functions to spot where AI and automation can simplify processes, lift productivity and speed up decision-making.
  • Design and deliver scalable AI, Agentic AI and automation solutions that solve real business problems end to end, from idea through to production deployment.
  • Build proof of concepts and minimum viable products independently, so value is proven quickly with working software.
  • Translate business requirements into secure, supportable and scalable technical designs that meet enterprise architecture, security and governance standards.
  • Evaluate competing technology options and recommend the best fit based on business value, technical feasibility, scalability and cost.
  • Bring subject matter expertise to establish reusable architecture patterns, best practices and delivery standards.
  • Drive cost optimization across AI, automation and cloud platforms, simplifying architectures, optimizing low-code and pro-code solutions and reducing total cost of ownership.
  • Support FinOps through proactive monitoring and optimization of cloud consumption and AI running costs.
  • Act as a trusted advisor to senior business and technology leaders, explaining architecture decisions, trade-offs and recommendations to technical and non-technical audiences.
  • Influence senior decision-makers on technology direction and investment using evidence and working demonstrations.
  • Work with delivery partners and vendors to convert proof of concepts into scaled solutions, reviewing technical designs and ensuring quality, timelines and cost.

What you'll need

  • A degree in Computer Science, Engineering, Information Technology or a related discipline.
  • Proven experience designing, developing and deploying enterprise-scale AI, automation or digital solutions in a production environment.
  • Deep subject matter expertise backed by hands-on capability, building proof of concepts and production-ready solutions yourself rather than only directing others.
  • Experience working directly with business stakeholders to shape solution strategies and technology roadmaps.
  • Practical experience with Generative AI and Agentic AI solutions, including Retrieval Augmented Generation (RAG), prompt engineering and AI solution design.
  • Strong cloud and technical expertise on Microsoft Azure and/or Google Cloud Platform, for example Azure AI Services, Azure OpenAI, Azure Functions, Logic Apps, Cloud Functions, Databricks, SQL and data platforms, API integration and integration architecture.
  • Experience working across global, cross-functional and multicultural teams.
  • Confidence and presence with senior stakeholders, with a proven ability to engage, challenge and influence leaders independently, communicate complex technical ideas in plain business language, and build lasting trusted relationships across a global organization.
  • Strong stakeholder and vendor management, communication and influencing skills, with the ability to think strategically and solve problems pragmatically.

Nice to have

  • Experience in FMCG, Supply Chain, Manufacturing, Quality, Customer Operations or Enterprise Functions.
  • Experience with agent and low-code platforms such as Microsoft Copilot Studio, Microsoft Cowork and Google ADK.
  • Experience managing external delivery partners and technology vendors, including reviewing their technical designs and challenging delivery quality and cost.
  • A track record of driving technology modernization, cost optimization or FinOps initiatives.
  • Business analysis and design thinking skills, used to frame problems before building solutions.

Details

  • Full-time, permanent role based in Bangalore, India, reporting to the Senior Manager, HAP.
  • Applicants must have the right to work in India.
  • Operates with a global scope, working with colleagues and partners across time zones.

Read the full description and apply on the company’s own careers page.

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SME – AI DevOps – HAP