Application Engineer - III

AI in this role

langchainsemantic-kernel

prompt-engineeringragai-agents

About Vanguard
Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.

Vanguard India

Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary

Designs and builds the integration layers between Dynamics/Dataverse, front-end channels, and AI agents. Exposes CRM capabilities through secure APIs and MCP-compatible tools, enabling event-driven applications and agentic AI to safely reason over and act on CRM data.

Responsibilites

Build REST/GraphQL APIs and middleware that decouple Dynamics from consuming apps and agents
Implement event-driven patterns to publish CRM state changes to downstream systems
Expose CRM and platform capabilities via MCP servers for AI tool access
Enable LLM/agent workflows to query, summarise, and trigger CRM processes
Enforce secure, delegated access using modern identity and authorization patterns
Understanding of Dynamics runtime (Dataverse schema, security, plugins and workflows)
Production support, release and change management
Write and deploy CI/CD pipelines

Qualifications and Skills

Minimum 5 years of experience in software development, system integration, database design, and back-end architecture.
Bachelor’s degree (B.E./B.Tech) in relevant fields such as Computer Science, or a Master’s degree/Diploma in Computer Science.
Java, .NET & Python backend engineering and API design
API gateways and integration platforms (e.g. Azure API Management)
Event-driven architecture (Kafka-style patterns; Service Bus / Event Grid equivalents)
Identity & security: Entra ID, OAuth/OIDC, delegated access
Agent integration using Semantic Kernel / LangChain, prompt design, and RAG patterns
Co-Pilot Studio integrations.
AWS Cloud skills (lambda, ECS, glue, s3, IAM, DynamoDB, SQS/SNS)
GitHub & GitHub Actions

Location

This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered.

Our mission

Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

Our commitment to you

Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:

Financial wellness
We're committed to enabling your financial success and provide competitive offers and programs.

Physical wellness
We're committed to providing benefits that support your physical health and wellness.

Personal wellness
We're committed to providing resources that help support the full scope of your life.

How we work

Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

How we rate this

Application Engineer - III at Vanguard rates 47 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGAI AgentsLangChainSemantic Kernel

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What's a project where you used LangChain hands-on?
Walk me through how you've used Semantic Kernel in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt Engineering, RAG, AI Agents, LangChain, and Semantic Kernel. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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