Position Summary
Seeking an AI Engineer to independently implement AI use cases using an enterprise AI platform and contribute to solution design and optimization. This role requires solid applied AI experience, collaboration with platform and product teams, and growing responsibility in delivering scalable, production-ready AI solutions while mentoring junior team members as needed.
Job Responsibilities
- Design and implement AI/ML use cases using an enterprise AI platform, following established architectural standards and best practices.
- Collaborate with product, architecture, and business teams to understand requirements and translate them into AI solutions.
- Contribute to solution design and implementation through code development, configuration, and testing.
- Work closely with the core AI platform team to adopt platform capabilities and follow recommended integration patterns.
- Support continuous improvement by identifying implementation challenges, performance issues, and enhancement opportunities.
- Ensure deployed solutions meet quality, reliability, observability, and responsible AI guidelines.
- Participate in code reviews, documentation, and knowledge sharing, while receiving guidance from senior engineers.
Knowledge, Skills and Abilities
Education
- Bachelor's degree in computer science, Engineering, Finance/Accounts, or related discipline
Experience
- 4 - 6 years of strong Handson experience in AI Engineering
Knowledge and skills (general and technical)
- Proficient in .NET Core / C# and Python for AI solution development
- Experience implementing LLMs, Azure OpenAI, and RAG-based solutions
- Hands-on experience with Azure AI services and cloud-native applications
- Working knowledge of microservices, REST APIs, vector search, and AI deployments
Other Requirements (licenses, certifications, specialized training - if required)
Good to have skills:
- Exposure to Azure AI Studio / Prompt Flow, multi-modal AI, and AI security concepts
- Familiarity with monitoring, resilience, and cost awareness in production AI systems
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Skills Required
- Bachelor's degree in Computer Science, Engineering, Finance/Accounts, or related discipline
- 4-6 years hands-on experience in AI Engineering
- Proficient in .NET Core / C#
- Proficient in Python
- Experience implementing LLMs, Azure OpenAI, and RAG-based solutions
- Hands-on experience with Azure AI Services and cloud-native applications
- Working knowledge of microservices, REST APIs, vector search, and AI deployments
- Ensure deployed solutions meet quality, reliability, observability, and responsible AI guidelines
- Exposure to Azure AI Studio / Prompt Flow, multi-modal AI, and AI security concepts
- Familiarity with monitoring, resilience, and cost awareness in production AI systems
What the Team is Saying
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MetLife Compensation & Benefits Highlights
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Retirement Support — Retirement benefits combine a 401(k) with company match and a company‑funded cash‑balance pension. This uncommon pairing strengthens long‑term security.
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Parental & Family Support — Family supports include paid parental leave, adoption assistance, caregiving resources, fertility coverage, and practical travel supports for nursing parents. These provisions go beyond core insurance to address real‑world family needs.
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Leave & Time Off Breadth — Time away includes a minimum of 22 days of PTO annually and a paid volunteer day, alongside bereavement and other leave options. This breadth provides meaningful flexibility for rest and life events.
MetLife Insights
What We Do
We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
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MetLife Teams
MetLife Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together
