AI Implementation Engineer at Wissen Technology · Mumbai, Bengaluru (Bangalore) · 7 - 13 years · Profitable · Posted 18 Sep 2026
PythonEMBEDDED AI ENGINEERING POD
AI Implementation Engineer Role
Level: AI Implementation Engineer Senior / Advanced - 6+ years
Practice: Wissen GenAI
Locations: Mumbai / Bengaluru / New York - hybrid, embedded with delivery teams
Reports to: EMBEDDED AI PRACTICE Senior AI Engineering Specialist (Architect); Wissen GenAI Program Lead
Embedded inside enterprise delivery teams, you work closely with global, cross-regional teams to turn prioritized GenAI use cases into production software - building, integrating, and hardening Azure-based AI solutions and accelerating adoption within the teams you join.
You deliver production software and help the teams you join work faster.
As an embedded AI Implementation Engineer, you help convert prioritized use cases into shipped, governed, measurable software.
Key responsibilities
1. Build and ship.
Implement GenAI features end to end on Azure - RAG pipelines, agents, APIs, and UI integrations - against enterprise systems and data.
2. Embed and enable.
Work inside the delivery pods: pair with their engineers, remove blockers, and transfer GenAI skills so adoption sticks after you move on.
3. Productionize.
Add evaluation, observability, guardrails, caching, and CI/CD so prototypes become reliable, cost-efficient services.
4. Integrate securely.
Connect to enterprise data with correct access control, secrets management, and compliance with enterprise security standards and handling of sensitive data.
5. Iterate on quality.
Use evaluation results and user feedback to improve grounding, accuracy, latency, and cost.
6. Measure.
Track delivery and quality metrics that roll up to the program's targets.
Must-have qualifications
- 6+ years in software engineering, with 2+ years building GenAI/LLM applications in production.
- Strong Python (incl. async) and Java (the primary enterprise application stack; Spring a plus); solid API and systems design.
- Azure GenAI hands-on: Azure OpenAI, Azure AI Foundry, Azure AI Search for RAG, Azure AI Document Intelligence (IDP), and Prompt Flow.
- Agent frameworks: Microsoft Agent Framework / Semantic Kernel / AutoGen (or LangChain / LangGraph) and tool / function calling.
Preferred
- RAG fundamentals: embeddings, chunking, vector search, reranking, and grounding.
- Data platforms: Snowflake including Cortex AI (Cortex Search, LLM functions) and SQL, for accessing and grounding on enterprise data.
- Prompt engineering as versioned code; building and running evaluations.
- DevOps: Azure DevOps / GitHub Actions, Docker, AKS / Azure Functions, and observability.
- Financial services or other regulated environments.
- Front-end (React) for AI-assisted UX; streaming and token level operations.
- Azure AI Content Safety and responsible-AI practices.
- Certification: Azure AI Engineer Associate.
What success looks like - first 6 to 12 months
- Multiple GenAI features shipped to production within the embedded delivery pods.
- Measurable adoption and productivity uplift in the teams you support.
- Reusable components adopted from the architects' reference framework.
- Clear contribution to faster time-to-market and lower defect rates.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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