Senior AI Software Engineer — Production AI

Zohorecruit

New York, Northern (NY, KY)

Hybrid

USD 140,000 - 190,000

Full time

6 days ago

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Job summary

T. Rowe Price in New York City or Harbor Point, Baltimore, MD, is seeking a Senior Software Engineer on the AI Engineering squad. You will independently design, build, and scale production-grade AI agents and intelligent systems that tackle complex business problems.

You will lead technical workstreams, incubate new AI products, and partner with business-aligned technology teams for broad adoption. This is a hands-on role demanding strong software fundamentals, practical AI engineering

Qualifications

BS or MS in Computer Science or related field, with 5+ years of professional software engineering experience.
Hands-on experience building AI-enabled applications, intelligent workflows, or agentic systems using modern LLMs and AI development frameworks.
Experience with agent orchestration, tool/function calling, retrieval-based systems, prompt/context engineering, structured outputs, evaluation, observability, or guardrails.
Experience taking AI-enabled systems beyond prototypes toward production, including testing, monitoring, reliability, security, and operational considerations.
Strong experience with cloud-native architectures, containerized microservices, APIs, and modern software delivery practices.
Strong analytical, problem-solving, software design, and debugging skills.
Demonstrated commitment to engineering quality through automated testing, code reviews, observability, and continuous delivery.
Ability to independently own complex technical problems and clearly communicate designs, decisions, and trade-offs.
A product mindset, strong learning agility, and passion for staying current with the rapidly evolving AI engineering landscape.

Responsibilities

Own end-to-end design and delivery of production-grade AI agents and intelligent systems, including architecture, implementation, testing, evaluation, deployment, observability, and production support.
Design agentic workflows using orchestration, tool integration, retrieval-based systems, structured outputs, context management, and human-in-the-loop patterns.
Partner with product owners and business stakeholders to translate needs into scalable AI solutions.
Lead technical workstreams from rapid experimentation to production adoption.
Establish evaluation and testing approaches for non-deterministic AI systems, including quality metrics and monitoring.
Make informed engineering trade-offs across models, prompts, context, tools, latency, cost, and security.
Contribute to reusable AI capabilities and shared engineering patterns across teams.
Lead code and design reviews, mentor engineers, and help others solve complex problems.