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We are seeking a highly skilled and experienced Senior AI Engineer / Technical Lead to join our growing AI & Digital Innovation team.

The successful candidate will play a central role in the design and development of enterprise-grade AI solutions, with a focus on building scalable, extensible platforms that support both conversational and transactional AI capabilities across multiple business functions.

This is a hands-on technical role suited to an engineer who combines deep AI implementation experience with the ability to lead technically, influence architecture decisions, and collaborate effectively with cross-functional teams. The ideal candidate is passionate about applied AI, has a solid engineering foundation, and has demonstrated experience delivering AI solutions in complex enterprise environments.

Key Responsibilities :

AI Solution Design & Development :

- Design, develop, and maintain scalable AI solutions that support both conversational (chat-based) and transactional business functions.
- Contribute to the architecture of AI platforms that are modular and extensible, enabling adoption across multiple business units with varying requirements.
- Evaluate and recommend appropriate AI tools, models, frameworks, and platforms based on use case requirements and organisational standards.
- Implement orchestration patterns that coordinate AI agents, models, and workflows in a coherent and reliable manner.

AI Integration & Engineering :

- Build and maintain integrations between AI components and enterprise systems including CRM, ERP, document management, HR platforms, and communication tools.
- Design and implement APIs and integration patterns that enable seamless connectivity between AI capabilities and consuming applications.
- Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and multi-model coordination patterns based on solution requirements.
- Ensure AI solutions are engineered for performance, reliability, and maintainability in production environments.

Conversational & Transactional AI :

- Develop conversational AI capabilities including intelligent chatbots, virtual assistants, and LLM-powered dialogue systems.
- Build transactional AI functions that automate or augment business processes such as document processing, data retrieval, approvals, and workflow automation.
- Support the design of solutions that handle both real-time and batch AI processing depending on the nature of the business use case.

Governance, Security & Responsible AI :





- Apply responsible AI principles throughout the development lifecycle including fairness, transparency, explainability, and data privacy.
- Adhere to and contribute to AI governance practices covering model versioning, monitoring, and auditability.
- Ensure AI solutions are built in compliance with organisational security policies, data handling standards, and relevant regulatory requirements.
- Collaborate with the Information Security team to embed appropriate controls within AI solution design.

Technical Leadership & Collaboration :

- Serve as a technical lead within the AI team, providing guidance and mentorship to junior engineers and developers.
- Work closely with solution architects, business analysts, and product owners to translate business requirements into sound technical designs.
- Participate in design reviews, technical discussions, and proof-of-concept evaluations.
- Contribute to the development of internal standards, engineering guidelines, and reusable AI components.
- Stay current with advancements in the AI space and proactively identify opportunities to apply emerging capabilities within the organisation.

Required Qualifications & Experience :

Education :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical discipline.

Experience :

- Minimum 6-8 years of overall experience in software or AI engineering.
- Minimum 3-4 years of hands-on experience designing and implementing production AI solutions in an enterprise environment.
- Proven experience working on AI platforms or solutions that span conversational and process automation use cases.
- Experience contributing to or leading the technical delivery of AI integration projects involving multiple enterprise systems.

Technical Skills :

- AI & ML Frameworks : LangChain, Semantic Kernel, AutoGen, LlamaIndex, or equivalent AI orchestration frameworks.
- Large Language Models : OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or open-source LLMs (LLaMA, Mistral).
- Vector Databases : Pinecone, Weaviate, Azure AI Search, pgvector, or equivalent.
- Cloud (Azure Primary) : Azure OpenAI Service, Azure AI Studio,



Azure Bot Services, Azure API Management, Azure Functions, Azure Logic Apps.
- Azure Infrastructure : Azure Kubernetes Service (AKS), Azure Container Apps, Azure Service Bus, Azure Key Vault, Azure Monitor.
- Programming Languages : Python (primary), with working proficiency in at least one of JavaScript, C#, or Java.
- API & Integration : REST API design, event-driven architecture, webhook patterns, API gateway management.
- RAG & Knowledge Retrieval : Retrieval-Augmented Generation (RAG), embedding models, semantic search, knowledge base integration.
- Security & Governance : AI security controls, data privacy compliance, responsible AI principles.
- DevOps & MLOps : CI/CD pipelines, containerisation (Docker, Kubernetes), model versioning, prompt management, and monitoring.

Preferred Qualifications :

- Hands-on experience with the Microsoft Azure AI and integration stack, including Azure AI Studio, Azure Integration Services, and Azure API Management.
- Familiarity with agentic AI design patterns and multi-agent coordination frameworks.
- Experience working in regulated industries such as aviation, finance, healthcare, or government.
- Exposure to enterprise integration platforms such as MuleSoft, Azure Integration Services, or equivalent middleware.
- Microsoft Azure certifications such as Azure AI Engineer Associate (AI-102) or Azure Developer Associate (AZ-204) are an advantage.
- Familiarity with Power Platform (Power Automate, Power Apps) in the context of AI-assisted workflows.

Key Competencies :

- Technical Depth : Strong hands-on engineering capability with the ability to move from concept to working solution.
- Problem Solving : Approaches complex and ambiguous technical challenges in a structured and pragmatic manner.
- Communication : Able to explain technical concepts and decisions clearly to both technical peers and non-technical stakeholders.
- Collaboration : Works well within cross-functional teams and across business units with differing priorities.
- Innovation Mindset : Actively follows developments in the AI space and brings relevant ideas and approaches to the team.
- Ownership : Takes responsibility for the quality and reliability of solutions developed and proactively addresses issues.
- Mentorship : Committed to uplifting team capability through knowledge sharing and hands-on guidance.

Key Skills :

- Azure Cloud, Artificial Intelligence, Retrieval Augmented Generation, Machine Learning, Data Bricks, Open AI, Fast API.

📌 Novigo Solutions - Artificial Intelligence Engineer (India)
🏢 novigo solutions
📍 India