Role: Digital Manager Designation: Manager / Senior Manager
Location: Vadodara
Please refer to the JD as mentioned below: Job Description (Developer )

Job title
Digital - Gen AI Solution Architect
Span
Central

Function & Role
Digital Group
Location
Vadodara

Designation
Manager
Reporting to (role)
Emerging digital solution & analytics head

Position summary

We are seeking a forward-thinking Technical Manager to lead our Hyperautomation and Emerging Technologies team. This is a high-impact, hands-on role for an architect who excels at the intersection of High-Code (Java/Python), Enterprise Low-Code (Mendix), and Agentic AI.

You will be the primary architect for our next generation of digital solutions, moving beyond simple automation to building autonomous agents and intelligent ecosystems. You will oversee in-house engineering, manage technical implementation in-house and through strategic partners, and drive the technical roadmap using the Google Cloud (Vertex AI), Other Agentic AI platforms and AWS ecosystems.

Key Role & Responsibilities

3.1. In-house Development & AI Orchestration
- Agentic AI Solution Design: Architect and deploy Agentic workflows and multi-agent systems that can reason, use tools, and execute complex business processes autonomously using Google's Vertex AI.
- Hybrid Development Strategy: Oversee the dual-track development of high-performance Java/.Net applications and rapid-delivery Mendix (Low-Code) solutions, ensuring seamless integration.
- RAG & LLM Engineering: Design advanced Retrieval-Augmented Generation (RAG) pipelines and fine-tune Large Language Models (LLMs) to unlock value from enterprise data.
- API & Microservices: Lead the end-to-end design of microservice patterns and data models, ensuring robust integration with AWS and GCP environments.
- Agent-First UI/UX: Direct the design of intuitive user experiences in Figma, specifically focusing on human-in-the-loop (HITL) interfaces for AI agents.
3.2. Implementation Partner Governance
- Technical Gatekeeping: Serve as the final authority on solution architecture proposed by partners, ensuring alignment with AI safety, scalability, and performance standards.
- Quality & Compliance: Conduct rigorous code and architecture reviews to ensure external deliverables meet our high standards for cloud-native and AI-driven applications.
- Validation Strategy: Approve test scopes and strategies for complex, partner-led AI projects to ensure comprehensive quality assurance.
3.3. Strategic Innovation & Scalability
- Reusable Agent Frameworks: Identify and build reusable AI components (e.g., custom GPTs, tool-calling frameworks, vector database connectors) to accelerate time-to-market.
- Best Practices for GenAI: Establish and document enterprise standards for prompt engineering, model governance, and LLM orchestration.
- Emerging Tech Roadmap: Prototype next-gen digital capabilities, evaluating how emerging tools like LangChain, CrewAI, or AutoGPT can be integrated into the business.

Job specification

Experience
6 - 8 Years

Qualification
Software engineering, with at least 2 years in a Enterprise architectural role

Certifications/Trainings
Google Cloud Professional Architect or AWS Solutions Architect or Java or Python or Agentic AI related certification

Competencies
Functional
Core Technical Skills

- High-Code: Extensive expertise in Java or .Net; strong proficiency in Python for AI/ML and data processing.
- Low-Code: Deep understanding of Mendix or similar Enterprise Low-Code platforms for rapid solution delivery.
- AI/ML Stack: Hands-on experience with Vertex AI, LLMs, Vector Databases, and Prompt Engineering.
- Frontend: Proficiency in JavaScript and UI/UX engineering with Figma.
- Database: Advanced SQL and knowledge of NoSQL/Vector databases.

Competencies & Leadership

- The Big Picture: Ability to translate abstract business challenges into scalable technical designs.
- Partner Management: Experience guiding technical scenarios and maintaining high standards with external implementation partners.
- Agile Mindset: Expert knowledge of the full SDLC, Agile methodologies, and release management using Jira.
- Continuous Learning: A strong desire to stay ahead of the curve in the rapidly evolving world of Agentic AI and Cloud-native technologies.