Context Engineer
About Brillio Brillio is a leading digital technology consulting and services company that helps enterprises accelerate their digital transformation journey through innovative engineering, cloud, data, AI and customer experience solutions through a team of 5,000+ experts technologically elevating 200 companies globally. Brillio partners with global enterprises to build modern, scalable, and business-driven technology platforms that deliver measurable outcomes and competitive advantage. With a strong culture centered around Customer Success, We Care, Entrepreneurial Mindset, and Excellence, Brillio empowers organizations to drive innovation, improve operational efficiency, and create exceptional customer experiences. Through its highly skilled technology workforce and deep domain expertise, Brillio delivers impactful solutions across Product Engineering, Data & AI, Digital Experience, Cloud, and Infrastructure services. Role: Context Engineer Location: Remote (EST time zone)
About the Role
We are seeking an experienced AI Context Engineer to design and scale the context layer that powers next-generation AI solutions across the enterprise. This role sits at the intersection of Generative AI, Knowledge Graphs, Ontologies, RAG Architectures, and Agentic AI, ensuring that AI systems deliver accurate, grounded, compliant, and business-relevant outcomes. As a key member of our AI transformation journey, you will work closely with business stakeholders, domain experts, data scientists, and AI engineers to transform complex enterprise knowledge into intelligent context that fuels large language models (LLMs), copilots, and autonomous agents.
Key Responsibilities
Context Engineering & AI Architecture Design, develop, and govern the context layer for enterprise AI applications, ensuring AI systems have access to relevant, trustworthy, and actionable information. Architect and optimize Retrieval-Augmented Generation (RAG) pipelines, semantic retrieval frameworks, grounding strategies, memory capabilities, and prompt orchestration mechanisms. Build scalable solutions that support omni-channel content generation, medical content development, scientific research workflows, and competitive intelligence use cases. Define and implement advanced prompt engineering techniques to improve response quality, relevance, and explainability. Knowledge Graphs, Ontologies & Semantic AI Translate enterprise ontologies, semantic data models, taxonomies, and knowledge graphs into structured context consumable by agents and large language models. Develop semantic frameworks that improve discoverability, contextual understanding, traceability, and compliance of AI-generated outputs. Collaborate with data governance, information management, and platform teams to ensure consistency and accuracy across knowledge assets. Agentic AI & Orchestration Design intelligent agent workflows and orchestration patterns using Azure AI Foundry and modern Agentic AI frameworks. Create and optimize agent instructions, tool definitions, workflows, memory management strategies, and autonomous reasoning capabilities. Enable AI agents that support research, commercial operations, medical affairs, and enterprise services while maintaining governance and control. AI Evaluation, Governance & Quality Assurance Establish robust evaluation frameworks and measurement systems for Generative AI solutions. Define and monitor metrics such as: Groundedness Relevance Faithfulness Hallucination rates Response consistency Medical accuracy Regulatory compliance User satisfaction Drive continuous improvement through experimentation, evaluation feedback loops, and performance optimization. Business Partnership & Domain Expertise Partner with cross-functional stakeholders across Medical Affairs, R&D, Commercial, Market Access, and Enterprise Functions to understand business challenges and knowledge requirements. Capture domain expertise and convert it into structured AI-ready context models. Ensure AI initiatives are aligned with measurable business outcomes, user adoption goals, and compliance expectations. Act as a trusted advisor, helping business teams maximize value from AI-powered solutions.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Management, Life Sciences, or related disciplines. 10+ years of experience in data, AI, knowledge management, semantic technologies, or enterprise architecture. Deep understanding of Generative AI and Large Language Models (LLMs). Hands-on experience with: Retrieval-Augmented Generation (RAG) Prompt Engineering Agentic AI frameworks Knowledge Graphs Semantic Search Vector Databases Information Retrieval Systems Experience designing enterprise-scale AI solutions using Microsoft Azure AI Services and Azure AI Foundry. Strong understanding of ontology modelling, taxonomy management, metadata frameworks, and semantic technologies. Proven ability to collaborate with both technical and business stakeholders. Why should you apply for this role? As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DI team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients. Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/ Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.