Sr Software Development Engineer

Location: Bangalore, India

Senior Software Engineer (Grade 150) – Orchestrated Analytics

Job Description Summary

The Orchestrated Analytics team is looking for a Senior Software Engineer (Grade 150) to design, build, deploy, and support next-generation Agentic AI solutions that power intelligent analytics, automation, and decision-support capabilities for our healthcare and life sciences customers.

This is an individual contributor role focused on the end-to-end development of scalable, secure, and production-ready AI agents, agent orchestration frameworks, and cloud-native services. The ideal candidate will have strong expertise in Python development, AI/LLM application engineering, and AWS cloud technologies, with a passion for building reliable, high-performing solutions in a fast-paced, collaborative environment.

Do you enjoy solving complex engineering challenges? Are you passionate about Generative AI, multi-agent systems, cloud-native architectures, and engineering excellence? Do you thrive in a collaborative environment that values innovation, accountability, and continuous learning?

Join us!

Key Technologies

Must have skill

• Strong Python programming.
• Agentic AI Frameworks(Must have: LangGraph, LangChain & good to have: CrewAI, AutoGen, Semantic Kernel)
• Data base:Must have: Snowflake (Mandatory) or PostgreSQL & Good to have: MongoDB / Neo4j
• Basic Cloud experience: AWS (Bedrock, ECS, EKS, Lambda, S3, DynamoDB, API Gateway, CloudWatch)

Docker / Kubernetes

GitLab CI/CD

Large Language Models (AWS Bedrock, Anthropic Claude, OpenAI, Llama)

Other technologies

Model Context Protocol (MCP) and Agent Integrations

FastAPI / Flask / REST APIs

Redis / RabbitMQ

Vector Databases (OpenSearch, Pinecone, Weaviate, Chroma)

Observability Platforms (LangSmith, LangFuse, OpenTelemetry)

Principal Responsibilities

Design, develop, deploy, and support scalable Agentic AI applications and intelligent workflow orchestration solutions.

Build robust backend services, APIs, and reusable frameworks using Python and modern software engineering practices.

Develop and integrate AI agents leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent orchestration frameworks, and external tools/services.

Implement cloud-native solutions on AWS with a focus on scalability, security, reliability, and operational excellence.

Contribute to solution architecture, technical design decisions, and technology selection.

Ensure software engineering best practices including code reviews, automated testing, CI/CD, observability, secure coding, and Agile development methodologies.

Optimize system performance, scalability, reliability, and cloud cost efficiency.

Troubleshoot and resolve production issues while maintaining high system availability.

Collaborate with product managers, architects, data engineers, and platform teams to deliver high-quality solutions.

Mentor junior engineers and contribute to the team's engineering standards and technical excellence.

Evaluate emerging AI technologies, frameworks, and industry trends to continuously improve platform capabilities.

Participate in Agile planning, estimation, sprint execution, and continuous improvement initiatives.

The Ideal Candidate Will Have at Minimum

Bachelor's degree in Computer Science, Engineering, or a related discipline.

Total experience of 7 to 10 years in software engineering.

6+ years of hands-on experience in Python application development.

Experience building, deploying, and supporting enterprise-grade applications in AWS cloud environments.

Experience developing AI/ML-powered applications, Generative AI solutions, or Agentic AI workflows.

Hands-on experience with AWS Bedrock, OpenAI, Anthropic Claude, or similar LLM platforms.

Experience with agent orchestration frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent technologies.

Experience building and consuming REST APIs and microservices.

Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.

Experience with relational and NoSQL databases including PostgreSQL, MongoDB, Snowflake, DynamoDB, or similar platforms.

Strong understanding of software architecture, object-oriented design principles, and distributed systems.

Experience with version control systems, CI/CD pipelines, and cloud-native development practices.

Experience implementing automated testing strategies including unit, integration, and end-to-end testing.

Strong analytical, problem-solving, and debugging skills.

Excellent communication (written and oral) and interpersonal skills.

We Also Value Any of the Following

Experience implementing Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval systems.

Experience with vector databases and semantic search technologies.

Experience developing MCP-compliant tools, extensions, and agent integrations.

Experience with observability and monitoring platforms such as LangSmith, LangFuse, OpenTelemetry, Grafana, or Prometheus.

Experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK).

Experience with DevOps practices and automation tools.

Experience with MLOps and model lifecycle management.

Experience optimizing cloud infrastructure costs and operational efficiency.

Experience implementing secure AI solutions and AI governance controls.

Experience working in healthcare, pharmaceutical, or life sciences domains.

Contributions to open-source AI, cloud-native, or developer tooling projects.

To Be Successful as a Member of the Team, the Candidate Must Also

Work effectively in a collaborative, team-based environment while being capable of delivering independently.

Be a self-starter who enjoys solving challenging engineering problems and driving outcomes.

Demonstrate strong ownership, accountability, and attention to quality.

Be flexible and adaptable in a fast-paced, dynamic technology landscape.

Consider feedback as an opportunity to learn and grow.

Communicate clearly with both technical and non-technical stakeholders.

Exhibit curiosity and a continuous learning mindset toward emerging AI and cloud technologies.

Maintain a strong customer focus and commitment to operational excellence.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.