Job Description

Job Summary

We are seeking a GenAI candidate with 7+ years of experience to build GenAI solutions using LLMs, RAG, and Langchain to address real-world business problems. Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation

Key Responsibilities

- GenAI Solution Leadership: Lead the architecture, development, and delivery of enterprise
- GenAI solutions using LLMs, RAG, agentic AI, and orchestration frameworks to solve complex business problems.
- LLMOps and Production Operations: Establish model and prompt lifecycle practices covering versioning, evaluation, deployment, observability, monitoring, incident response, rollback, cost optimization, and continuous improvement.
- Automation and Orchestration: Design intelligent automation and multi-agent workflows for task planning, tool calling, API invocation, human-in-the-loop controls, and reliable execution of business processes.
- Cloud Platform Delivery: Architect, deploy, and optimize GenAI workloads on GCP and Azure using services such as Vertex AI, Azure OpenAI, container platforms, managed data services, and secure cloud-native components.
- Databricks and Data Integration: Integrate GenAI applications with Databricks, enterprise data platforms, vector stores, APIs, databases, file repositories, and event-driven services while maintaining data quality, lineage, and access controls.
- Cloud Service Integrations: Build reusable and secure integration patterns for REST APIs, microservices, SDKs, queues, identity services, enterprise applications, and internal platforms.
- Client Handling and Communication: Lead client discovery, solutioning workshops,



architecture discussions, status reviews, risk and issue communication, and executive-ready presentations; translate business needs into practical technical roadmaps.
- Technical Governance and Team Leadership: Define engineering standards, security guardrails,
- Responsible AI controls, evaluation gates, and delivery documentation; mentor engineers and coordinate cross-functional cloud, data, platform, and business teams.

Required Qualifications

- 7-14 years of experience in AI/ML, data engineering, cloud platforms, or software engineering, including hands-on experience with Generative AI and LLM systems.
- Solid expertise in LLMOps, RAG, Agentic AI, prompt engineering, model evaluation, observability, production monitoring, and automation frameworks.
- Hands-on proficiency in Python, REST APIs, microservices, containers, CI/CD, and enterprise system integration.
- Demonstrated experience delivering solutions on GCP and/or Azure, with working knowledge of Databricks, cloud data services, security, identity, and scalable deployment patterns.

Preferred Qualifications

- Strong client handling, consulting, communication, presentation, and stakeholder management.
- Experience with Databricks, vector databases, MLflow or equivalent lifecycle tooling, Kubernetes, and cloud-native integration services.
- Ability to lead solution design, proofs of concept, production rollout, operational readiness, and cross-functional delivery for enterprise GenAI programs.

Job Snapshot

Updated Date

10-11-2026

Job ID

JOB-(phone hidden)

Department

CIDA-05-2

Location

Bangalore, Karnataka, India

Experience

8 - 11 Years

Employee Type

Permanent

📌 Principal Consultant-GenAI (Bengaluru)
🏢 Evalueserve
📍 Bengaluru