Lead technical design and delivery of Freddie Mac’s internal GenAI platform, FredAI, ensuring secure, scalable, and responsible AI solutions across the enterprise.
Compensation
This position has an annualized market-based salary range of $149,000 - $223,000 and is eligible to participate in the annual incentive program.
Responsibilities
Provide hands‑on technical leadership for architecture, design, and delivery of FredAI capabilities
Design and implement reusable reference architectures, SDKs, shared services, APIs, and integration patterns
Implement rigorous evaluation, testing, and LLMOps practices
Engineer secure, permission‑aware solutions enforcing identity, entitlements, data boundaries, privacy, and responsible AI policies
Define model and platform integration patterns, including routing, caching, rate limiting, and cost management
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
We are seeking an AI & Machine Learning Manager with strong hands‑on expertise in AI/ML engineering, Generative AI, data science and enterprise solution delivery.
Responsibilities
Work with business leaders and domain teams to identify, assess and prioritise AI/ML opportunities based on business value, feasibility, risk and expected return.
Translate business problems into clear AI use cases, functional requirements, solution options, delivery plans and measurable success criteria.
Define AI roadmaps and support business cases, proof‑of‑concept assessments and the transition of successful pilots into production solutions.
Lead the design, development, testing and deployment of machine learning, deep learning, NLP, predictive analytics and Generative AI solutions.
Guide the development of LLM‑based applications, Retrieval‑Augmented Generation (RAG), AI agents, conversational systems and intelligent automation solutions.
Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline
Lead the design, development, and operation of AI applications for Supply Chain and enterprise Digital. A senior individual contributor role combining hands-on engineering, architecture, technical leadership, and mentoring.
Compensation
The salary range for this role is $145,900.00 - $234,200.00.
Responsibilities
Design and build full-stack AI applications, including user interfaces, backend APIs, reusable services, and integrations with enterprise data and systems.
Own delivery from prototype through production, including automated testing, CI/CD, release management, observability, incident response, and ongoing application support.
Use AI coding agents for implementation, refactoring, debugging, and test generation.
Partner with product, architecture, cybersecurity, quality, and validation teams to meet business outcomes, enterprise standards, and applicable regulatory requirements.
Responsible for the semantic architecture, design, and implementation of enterprise knowledge graphs and ontological models that transform unstructured data into interconnected, machine-readable intelligence.
Responsibilities
Engineer domain-specific ontologies, taxonomies, and controlled vocabularies using modern semantic web standards (OWL, RDF, and SHACL).
Design semantic schemas that enable cross-system interoperability, advanced inference, and robust metadata management.
Collaborate with data scientists, software engineers, and AI architects to integrate semantic frameworks with enterprise graph databases (GraphDB, Neo4j).
Integrate semantic frameworks with modern AI pipelines including Retrieval-Augmented Generation (RAG) and vector search structures.
Establish strict data governance, validation workflows, and data harmonization pipelines.
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