Company Summary

First American (India) is a GCC (Global Capability Center) of the First American Financial Corporation (NYSE: FAF) family of companies. FAI is a proud member of the FORTUNE 500 companies and has been amongst the Fortune 100 Best Companies to Work For® list for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge processing operations to fulfill First American's business requirements. Our priorities are our employees, customers, and shareholders - in that order. First American (India) has been ranked amongst India's Best Companies To Work For™ 2023: Listed amongst the Top 100 by Great Place To Work® India, FAI is also certified Best Workplaces for Women and Workplace with Inclusive Practices. Software Services helps build First American's product suite that encompasses the best in class Title Insurance, Settlement and Mortgage solutions platforms. Leverages technology product stack across Microsoft platform predominantly to develop, enhance and maintain the best in class applications. The R & D division delivers solutions for the title insurance industry leveraging the best of NLP, AI and ML.

Job Summary

Join Us in Shaping the Future of a 135-Year-Old Industry

About the AI COE team.

First American Financial is launching a pioneering AI Centre of Excellence (AI CoE) to accelerate innovation, responsibly scale AI adoption, and unlock transformative value across our business.

AI COE team would adopt Forward-Deployed Engineering (FDE) practices. This blends deep engineering with consulting-style deployment to solve high-impact problems. At First American, we are adapting this model to help accelerate AI adoption in a practical, meaningful, consistent, and reliable way. Each engagement (“case”) runs as an 8–10 week project designed to deliver tangible AI outcomes while injecting new capabilities in the product team we embed with.

Our approach draws on best practices from Palantir’s FDE playbook, OpenAI’s deployment model, and the structured methodologies of leading consulting firms (McKinsey, BCG etc.).

The goal is to:

• Deliver measurable ROI in cost savings, efficiency gains, capacity increases, or revenue opportunities.
• De-risk adoption by testing feasibility early and validating value continuously.
• Build durable capability by leaving behind not only working solutions but also reusable assets and skilled teams.

Core principles of this team:

• Embedded Collaboration: FDE squads work side-by-side with product teams, ensuring relevance and adoption.*
• Hypothesis-Driven: Every case starts with a clear ROI hypothesis and defined success metrics.
• Rapid Iteration: Quick prototypes validate assumptions in weeks, not months.
• Time-Boxed: 8–10 week phases with explicit milestones create urgency and accountability.
• Sustainable Handover: Co-building ensures product teams can own, extend, and scale solutions after FDEs disengage.

As part of this agile and mission-driven team, you'll work on the front lines of AI transformation, applying cutting-edge foundation models to solve complex, real-world challenges—from enhancing customer experiences to streamlining operations and uncovering new revenue opportunities.

We’re looking for passionate individuals who thrive in fast-paced, collaborative environments, are committed to ethical AI practices, and are excited by the opportunity to help reshape a 135-year-old company from the inside out.

Role Summary: As an AI Engineer in our Centre of Excellence, you will be instrumental in building, deploying, and maintaining production-ready AI applications using readily available foundation models. You will bridge the gap between model development and practical application, ensuring robust, scalable, and efficient AI systems that deliver tangible value.

Key Responsibilities:

• Design and implement end-to-end AI systems, integrating foundation models into various applications and workflows.
• Apply and optimize model adaptation techniques, including prompt engineering, Retrieval-Augmented Generation (RAG), and finetuning, to tailor foundation models for specific use cases.
• Develop and integrate AI architecture components such as context enhancement, input/output guardrails, model routers/gateways, caching mechanisms, and agent patterns to ensure system reliability and security.
• Implement AI pipeline orchestration to define and chain together different components of an AI system, ensuring seamless data flow and complex workflow execution.
• Optimize AI model inference for latency and cost, utilizing techniques like quantization, distillation, and parallelism, and demonstrate proficiency in working with GPUs and large compute clusters.
• Collaborate closely with Data Scientists to integrate trained models and with Data Engineers to ensure efficient data pipelines for AI applications.
• Contribute to defining and implementing systematic evaluation pipelines for AI applications, focusing on metrics such as factual consistency, generation capability, and instruction-following for open-ended outputs.
• Engage in continuous monitoring and observability of AI systems in production to detect failures, drifts, and identify opportunities for improvement and cost savings.
• Assist in productizing AI-powered outputs and features, ensuring alignment with customer needs and product strategy.

Required Skills & Qualifications:

• Proven experience in building applications with foundation models and deploying AI systems into production environments.
• Strong proficiency in prompt engineering, RAG, and finetuning techniques for model adaptation.
• Familiarity with AI architecture patterns and their practical implementation.
• Understanding of inference optimization techniques and experience with high-performance computing environments (e.g., GPUs).
• Knowledge of AI evaluation methodologies for open-ended models and experience in setting up robust evaluation pipelines.
• Proficiency in programming languages commonly used in AI development, such as Python, with an understanding of relevant APIs and frameworks.
• Ability to work in an iterative, experimental environment and adapt to rapidly changing model capabilities and tools.
• Excellent communication and collaboration skills for working with diverse, cross- Functional teams.

FAI is committed to create an environment that respects, supports and inspires all individuals. We do not discriminate on the basis of color, religion, sex, gender identity, sexual orientation and age. At FAI, we celebrate diversity and believe that an inclusive workforce benefits employees, the organization and our community. We are an Equal Opportunity Employer. For more information about our company and dedication to putting People First, check out https://firstam.wd1.myworkdayjobs.com/faicareers.