Assistant Manager: Assistant Ai Solution Architecture Manager

Job Title: Assistant AI Solution Architecture Manager, Hyperautomation

Location: UniOps Bangalore

ABOUT UNILEVER:

Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.

MAIN JOB PURPOSE:

This role focuses on executing, architecting, and scaling autonomous, agentic workflows for Unilever’s dynamic business landscape, supporting digital transformation initiatives across supply chain, marketing, and consumer engagement. The position requires deep technical contribution, strong solution architecture grounding, and proficiency in Google Cloud's Gen AI stack (Vertex AI, Gemini, Agent Builder) within a Hyperautomation context, all tailored to Unilever’s global scale and sustainability-driven goals.

Key Responsibilities

I. Technical Execution & Solution Architecture

• Gen AI/Agentic Design: Contribute to the technical design and support the architecture of hyperautomation solutions, specifically focusing on the build and scaling of Agentic AI workflows, RAG systems, and multi-agent orchestration on the Google Cloud Platform (GCP).
• Framework Implementation: Champion the adoption of technical standards, design patterns, and engineering best practices (e.g., A2A, MCP) across the team to ensure the reusable AI utility agents are scalable and maintainable.
• System Integration: Execute and document the technical integration of Gen AI solutions with core enterprise systems using modern API, event-driven (e.g., Pub/Sub), and microservices architectures.
• Code Quality & Review: Act as a key technical resource, conducting rigorous code reviews, debugging complex issues, and ensuring adherence to high-quality code standards for critical components.

II. Team & Project Coordination

• Team Support & Mentorship: Provide guidance, technical support, and mentorship to Software Engineers and Automation Developers, assisting in their professional development and growth within the AI/Hyperautomation domain.
• Delivery Execution: Support in managing the execution of the HAP team's roadmap, tracking progress against milestones, and ensuring timely delivery of sprint goals and features.
• Process Improvement: Contribute to the continuous improvement of the team's software development lifecycle (SDLC), ensuring efficiency, quality control, and successful adoption of Agile/Scrum methodologies.

III. Generative AI & Google Cloud Focus

• LLMOps Contribution: Assist in the implementation and operation of GenAIOps (MLOps for Gen AI) pipelines using Vertex AI Pipelines, focusing on automated testing, monitoring, and versioning of AI models and prompts.
• Cloud Optimization Analysis: Conduct detailed analysis of cloud resource usage for AI workloads on GCP, identifying opportunities for cost optimization and operational efficiency.
• Evaluation & Validation: Implement and run model evaluation (EVAL) frameworks to validate agent performance, monitor accuracy metrics, and ensure adherence to safety and quality guardrails.
• Google Stack Utilization: Leverage and apply Google AI tools, including Gemini models, Vertex AI Search, Agent Builder, and Dialogflow CX, to build effective hyperautomation solutions.

IV. Stakeholder Communication & Analysis

• Requirement Translation: Work closely with Product Managers and business analysts to break down complex business requirements into clear, executable technical tasks and user stories.
• Cross-Functional Collaboration: Facilitate communication and synchronization between the engineering team and dependent teams (Enterprise Architecture, Data Science, Infrastructure) to resolve integration issues.
• Technical Documentation: Produce high-quality technical documentation for solution designs, API specifications, and operational playbooks to enable smooth platform adoption and support.

KEY REQUIREMENTS

This role is for a highly technical Google Cloud Gen AI/Hyperautomation expert who will design, build, and scale autonomous, agentic AI workflows for Unilever's global business.

Key Focus Areas:

Technical Execution: Architecting and implementing Agentic AI, RAG systems, and multi-agent orchestration on GCP (Vertex AI, Gemini, Agent Builder). GenAIOps: Implementing LLMOps pipelines using Vertex AI for automated testing, monitoring, and versioning of models and prompts. Integration & Quality: Ensuring high code quality, conducting rigorous reviews, and executing system integration with enterprise systems using modern APIs and event-driven architectures (Pub/Sub). Cost optimization of AI and Generative AI solutions for scale. Support & Strategy: Providing technical mentorship, supporting roadmap execution, and translating complex business requirements into technical tasks.

“Our commitment to Equality, Diversity & Inclusion

Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

Additional Information

Please apply via this portal as e-mail applications will not be processed. By applying to this role, you are confirming that you have informed your Line Manager and that you are at a point in your career with Unilever where it is appropriate for you to be applying for other positions.

In lieu of the UniOps Productivity program, all the impacted talents would be prioritized across the open roles. Given the number of roles and timeline for this process, interview would be organized based on shortlisting only. We shall communicate the status of all unaddressed applicants, by early December.

We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment journey. Should you require additional information or reasonable adjustments to allow you to present your best self during this process, please contact your Talent Partner

Note: "All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding.