Principal Engineer - Partner with Customers AI Solutions
About the role
The AI Developer will design, build, and support practical AI and Generative AI solutions for the Partner with Customer business context, helping commercial, sales, marketing, strategy, and portfolio teams work faster and make better decisions.
Responsibilities
- Create production-ready copilots, RAG search experiences, document summarization workflows, recommendation services, and automation tools for Partner with Customer stakeholders.
- Use Microsoft 365 content and services, including SharePoint and Microsoft Teams, as trusted collaboration and knowledge sources for AI-enabled workflows.
- Apply Power Platform capabilities, including Power Apps, Microsoft Forms, and Power Automate, where they accelerate adoption, intake, approvals, and workflow orchestration.
- Select and tune embedding models, chunking strategies, vector search configurations, rerankers, prompt patterns, and routing policies to improve relevance and answer quality.
- Develop agentic workflows and automation patterns using tools such as LangChain, LlamaIndex, MCP, and model orchestration frameworks where appropriate.
- Translate subject-matter-expert knowledge into maintainable prompts, reusable workflows, evaluation sets, and application logic.
- Implement guardrails, access controls, content policies, safety checks, evaluation metrics, observability, and cost controls suitable for enterprise use.
- Containerize and deploy applications using modern cloud, API, CI/CD, and monitoring practices in partnership with platform and operations teams.
- Collaborate closely with sales, marketing, strategy, product portfolio, customer care, requirements, testing, validation, and platform teams; communicate progress, risks, and trade-offs clearly.
Requirements
8+ years of experience building production software, data products, automation solutions, or AI-enabled applications, including hands-on experience with LLMs or Generative AI.
Strong Python experience, preferably with FastAPI, Pandas, NumPy, Pydantic, Jinja2, and API development; working knowledge of Node.js or modern JavaScript is a plus.
Experience building AI applications using LLMs, embeddings, vector databases, RAG patterns, prompt engineering, model evaluation, and model-provider APIs.
Familiarity with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, Meta/Llama, Mistral, or similar model ecosystems.
Working knowledge of Microsoft 365 services such as SharePoint and Microsoft Teams, plus Power Platform concepts including Power Apps, Microsoft Forms, and Power Automate.
Experience integrating with enterprise systems such as Salesforce, Microsoft Graph, low-code platforms, content management platforms, sales enablement tools, workflow tools, REST APIs, GraphQL APIs, SQL databases, and search services.
Practical understanding of data storage and retrieval patterns, including SQL, NoSQL, Elasticsearch, and vector databases such as Pinecone, Weaviate, FAISS, Milvus, or pgvector.
Cloud and DevOps experience with AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, monitoring, and logging tools.
Ability to work with ambiguous business processes, messy enterprise data, and multiple stakeholder groups while producing clear, reliable, maintainable solutions.
Strong communication skills, product-oriented thinking, curiosity about commercial and customer-facing processes, and the ability to learn quickly in a dynamic environment.
BS, MS, or equivalent professional experience in Computer Science, Software Engineering, Data Science, Mathematics, Electrical Engineering, or a related field.
Qualifications
Experience supporting sales, commercial operations, marketing, customer care, market intelligence, product portfolio, or business case workflows.
Experience with Salesforce CRM or sales performance management processes.
Experience with low-code platforms such as Microsoft Power Platform or OutSystems.
Experience with sales enablement or content management platforms such as Showpad, Seismic, Highspot, or similar tools.
Experience creating reusable AI patterns, prompt libraries, evaluation datasets, or internal developer tools for enterprise adoption.
Experience measuring AI solution value through hours saved, quality improvements, adoption, user reach, latency, reliability, and cost efficiency.
Skills
Experience with LLMs, embeddings, vector databases, RAG patterns, prompt engineering, model evaluation, and model-provider APIs.
Experience with Microsoft 365 services such as SharePoint and Microsoft Teams, plus Power Platform concepts including Power Apps, Microsoft Forms, and Power Automate.
Experience integrating with enterprise systems such as Salesforce, Microsoft Graph, low-code platforms, content management platforms, sales enablement tools, workflow tools, REST APIs, GraphQL APIs, SQL databases, and search services.
Practical understanding of data storage and retrieval patterns, including SQL, NoSQL, Elasticsearch, and vector databases such as Pinecone, Weaviate, FAISS, Milvus, or pgvector.
Cloud and DevOps experience with AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, monitoring, and logging tools.
Ability to work with ambiguous business processes, messy enterprise data, and multiple stakeholder groups while producing clear, reliable, maintainable solutions.
Strong communication skills, product-oriented thinking, curiosity about commercial and customer-facing processes, and the ability to learn quickly in a dynamic environment.
Benefits
Access to employee discounts on world-class products, including JBL, HARMAN Kardon, AKG, and more.
Extensive training opportunities through HARMAN University.
Competitive wellness benefits.
Tuition reimbursement.
The Be Brilliant employee recognition and rewards program.
An inclusive and diverse work environment that fosters and encourages professional and personal development.