Senior Agentic AI Engineer
Company:
Boeing India Private Limited
Overview
As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity.
Technology for today and tomorrow
The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.
People-driven culture
At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing.
With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.
The Agentic AI Strike Team within Boeing’s Enterprise AI & Data organization are seeking a motivated Senior Agentic AI Engineer to join our team at Boeing. This role follows the traditional data scientist skillset but emphasizes experience and capabilities for retrieval-augmented generation (RAG) and agentic AI workflows. You will work with business stakeholders across Boeing to decompose complex problems, develop high-quality data-driven models and retrieval strategies, and deploy solutions that enable AI agents to securely and effectively use enterprise data in decision-making and workflows.
This role will be based out of Bangalore, India.
Position Responsibilities:
- Collaborate with business stakeholders to understand project requirements and objectives and to translate vague business needs into clear data science and retrieval problem statements.
- Decompose complex problems into manageable tasks and develop end-to-end data-driven solutions architect that include modeling, retrieval, and integration into workflows, leading the way from capabilities to solutioning
- Should demonstrate strong communication and business development skills, lead Business transformation strategies, workshops with business stakeholders in defining strategic needs, develop AI/Agentic AI roadmap to deliver on key business KPIs
- Determine and develop the most appropriate machine learning and retrieval models (classification, regression, unsupervised methods, and retrieval pipelines) to resolve business problems
- Design and optimize retrieval-augmented generation (RAG) patterns that support agent workflows and decision-making.
- Define retrieval strategies for enterprise content sources, structured data, unstructured documents, and operational systems.
- Partner with platform engineers and data owners to enable secure access to approved knowledge sources.
- Develop methods for context selection, ranking, filtering, summarization, and grounding to improve response quality.
- Evaluate retrieval performance, relevance, latency, and answer fidelity across use cases.
- Create testing and benchmarking approaches for retrieval quality and downstream agent outcomes.
- Help define guardrails for data access, permissions, privacy, and information sensitivity.
- Work with governance and security stakeholders to ensure enterprise data is used in a compliant and auditable way.
- Contribute to reusable patterns, standards, and documentation for RAG-enabled agent capabilities.
- Support integration of retrieval systems with orchestration frameworks, APIs, and AI platform components.
Employer will not sponsor applicants for employment visa status.
Basic Qualifications (Required Skills/Experience):
- Demonstrated experience working with stakeholders to create data science problem statements from vague business requirements.
- Strong understanding and hands-on experience with natural language processing (NLP) techniques (tokenization, embedding generation, summarization, named entity extraction, etc.).
- Familiarity with large language models and their applications in retrieval-augmented generation and agent workflows.
- Practical experience developing machine learning regression and multi-class classification models, especially under imbalanced data conditions.
- Demonstrated experience with RAG architectures and retrieval systems in production or enterprise environments.
- Strong understanding of how LLMs use retrieved context within agent workflows.
- Familiarity with retrieval concepts such as chunking, embeddings, vector search, metadata filtering, hybrid retrieval, reranking, and query rewriting.
- Ability to evaluate retrieval quality and answer grounding for accuracy and relevance.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work effectively across development, data, product, and governance teams.
- Experience with data access controls, privacy, and security considerations.
- Proficiency working with configuration and data formats such as Python, JSON, and YAML.
Preferred Qualifications (Desired Skills/Experience):
- Experience enabling agentic RAG or retrieval-driven workflow automation.
- Familiarity with enterprise search platforms, vector databases (e.g., Pinecone, Milvus, Weaviate), and knowledge retrieval pipelines.
- Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar tools.
- Knowledge of hybrid retrieval methods combining keyword and semantic search.
- Experience with observability, tracing, and evaluation for retrieval and generation pipelines.
- Familiarity with retrieval benchmarking, relevance scoring, and human evaluation workflows.
- Experience with document parsing, knowledge ingestion, and content normalization.
- Understanding of prompt design patterns that improve grounding and citation quality.
- Experience with security, compliance, and data governance controls in enterprise AI systems.
- Experience working in regulated or large-scale enterprise environments.
Typical Education & Experience:
- Typically, 12-16 years’ related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Master, etc.) preferred but not required.
Relocation:
This position does offer relocation within INDIA.
Language Requirements:
Not Applicable
Education:
Not Applicable
Relocation:
This position offers relocation based on candidate eligibility.
Security Clearance:
This position does not require a Security Clearance.
Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.
Contingent Upon Award Program
This position is not contingent upon program award
Shift:
Not a Shift Worker (India)
