[Hiring] Senior AI Platform Engineer @ABC Financial Services

Role Description

As an AI Platform Engineer, you will own platform deliverables end to end. You’ll design, build, launch, instrument, and operate capabilities against clearly defined SLOs. You’ll make adoption easy through clean interfaces, thoughtful migration paths, and documentation that enables teams to use the platform independently.

• Own an AI platform deliverable from problem definition through production launch, adoption, and ongoing operation.
• Design, build, and operate platform capabilities such as LLM gateways, retrieval systems, agents, developer tooling, evaluation frameworks, and inline guardrails.
• Define success criteria and measurable outcomes before building, then use production data and baseline metrics to guide future improvements.
• Design systems with clear SLOs, strong observability, predictable failure handling, and reliable operational processes.
• Develop and maintain clean interfaces, migration paths, documentation, and paved paths that make platform adoption simple for engineering teams.
• Build retrieval and agent systems with a clear separation between retrieval quality and answer quality, supported by meaningful evaluation strategies.
• Design for secure and controlled AI execution, including least-privilege access, multi-tenant isolation, permissioning, auditability, and operational boundaries.
• Apply strong distributed systems principles, including consistency, idempotency, concurrency, resilience, rollout strategies, and failure-mode analysis.
• Use coding agents and other AI development tools effectively while validating their output through testing, review, and sound engineering judgment.
• Carry operational ownership for the systems you build, including participation in an on-call rotation, incident response, and post-incident improvement.
• Partner closely with Engineering, Product, Security, Infrastructure, SRE, and Developer Experience teams to ensure platform capabilities are practical, scalable, and widely adopted.
• Establish and communicate reusable technical patterns, standards, and reference implementations for building production-ready AI systems.

Qualifications

• Demonstrated experience building or operating production retrieval systems, agent platforms, AI tooling, or other AI-enabled capabilities that real users depend on.
• Strong software engineering experience designing and operating distributed systems within an existing architecture.
• The ability to identify and clearly reason about consistency, idempotency, concurrency, failure modes, multi-tenant isolation, security, and rollout risks.
• Practical understanding of AI system quality, including retrieval evaluation, answer quality, release gates, agent reliability, and cost per request.
• Experience designing systems with clear success criteria, measurable baselines, observability, and operational targets such as SLOs.
• Strong understanding of secure AI execution patterns, including least-privilege access, permissioning, auditability, and policy enforcement.
• Experience taking a platform or product capability from problem definition to production and remaining accountable for its reliability, adoption, and continued improvement.
• Ability to work effectively with coding agents and AI development tools, while independently verifying generated code and recommendations.
• A strong production mindset, including experience with incident response, on-call operations, monitoring, debugging, and post-incident learning.
• Excellent communication and collaboration skills, with the ability to make complex technical concepts accessible to engineering and product stakeholders.
• A customer-focused mindset: you understand that a platform capability that teams do not adopt is not a successful outcome.
• A One Team orientation and a willingness to create reusable capabilities that enable other engineering teams to move faster and more safely.

Requirements

• Experience with LLM gateways, agent frameworks, retrieval-augmented generation, evaluation systems, or AI developer platforms.
• Experience with FinOps, cost optimization, or usage-based measurement for AI systems.
• Experience in application security, policy enforcement, identity, access management, or secure platform design.
• Experience with search quality, ranking, experimentation, or relevance evaluation.
• Experience with OpenTelemetry, distributed tracing, AI observability, or production telemetry.
• Experience building multi-tenant infrastructure or internal developer platforms.
• Experience with developer advocacy, technical enablement, SDKs, documentation, or helping teams adopt new engineering capabilities.
• Familiarity with routing systems, API gateways, service orchestration, workflow engines, or platform control planes.

Benefits

• Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset.
• Time Off – with our open PTO policy, you pick when you want time off when it’s best for you!
• Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam.
• Parental & Pawternity Leave – we offer leave for when your family grows by two feet or four paws!
• Fitness Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement.
• Discounts – access to discounts with our partners, such as Dell, Microsoft & many more.
• Medical/Dental/Vision coverage.
• EAP – we get you help when you need it. Period.
• Calm App +4 – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16.
• And more! – so many benefits we couldn’t even fit them all here!