AI Software Engineer

J Harlan Group • New York, NY

13h • Hybrid

About The Position

J Harlan Group is currently conducting a search for an AI Software Engineer to join the firm's AI Engineering team at a prominent global Investment Manager. This opportunity offers the opportunity to collaborate with talented engineers, product owners, and business partners building high-impact AI products with leverage across the firm. As a Software Engineer on T. Rowe Price Labs' AI Engineering team, you will design, develop, test, and deploy AI agents and intelligent systems, helping move innovative ideas from concept toward enterprise scale. Working in a Build-Operate-Transfer model, you will contribute to incubating new AI products, help harden them for production, and partner with business-aligned technology teams to scale responsible AI solutions across the enterprise. This is a hands-on, end-to-end engineering opportunity with direct responsibility for building modern AI-enabled systems as part of T. Rowe Price Labs' AI Engineering team. You will collaborate in cross-functional squads and contribute throughout the lifecycle—from product incubation and experimentation through production deployment, operation, and eventual transfer to business-aligned technology teams. What makes this opportunity particularly compelling is the combination of strong software engineering and applied AI. The team is building systems incorporating AI agents, agent orchestration, tool integration, retrieval-based systems, prompt engineering, evaluation frameworks, observability, and guardrails. The position is not focused on AI research or training foundation models. Instead, it focuses on practically applying modern AI technologies to build reliable, scalable, production-quality enterprise systems. The firm's AI Labs is focused on building the firm's next generation of data and AI capabilities and developing high-impact technology solutions that can ultimately be scaled across the organization.

Requirements

• BS or MS in Computer Science or a related technical field (or equivalent experience), with 2+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred).
• Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks.
• Exposure to or strong interest in AI-enabled systems, intelligent workflows, or agentic applications.
• Familiarity with modern AI engineering patterns such as agent orchestration, tool integration, retrieval-based systems, evaluation approaches, monitoring, or guardrails is a plus.
• Strong analytical and problem-solving abilities.
• Commitment to quality via automated testing, code reviews, and continuous delivery.
• Results-driven with a passion for learning and staying current with emerging technologies.
• A product mindset and comfort operating in a fast-evolving technology landscape.

Nice To Haves

• Experience contributing to reusable platform components or shared engineering capabilities.
• Solid understanding of financial markets and financial instruments.
• Experience working within asset management, financial services, or another complex enterprise technology environment is beneficial.
• An individual who has a passion for AI, loves solving deep and complex technical and business problems and wants to have an outsized impact through the systems and products they build.
• An individual with a passion for technology and engineering, a high level of intellectual curiosity, a commitment to excellence, and an unparalleled drive to deliver world-class solutions.

Responsibilities

• Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier, cloud-native architectures.
• Work closely with engineers, product owners, and business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
• Contribute to product incubation efforts by helping validate ideas, build robust implementations, and prepare solutions for production adoption.
• Support the transition of proven capabilities through the Build-Operate-Transfer model, partnering with business-aligned technology teams for long-term ownership and scale.
• Contribute to reusable AI capabilities across areas such as agent orchestration, prompt engineering, tool use, retrieval-based systems, evaluation frameworks, observability, and guardrails.
• Champion engineering excellence by applying best practices in AI development, automated testing, code quality, continuous integration, and continuous delivery.
• Manage technical debt and drive ongoing improvements in AI platforms and infrastructure.
• Proactively seek opportunities to apply AI agents for increased business value and operational efficiency.
• Collaborate directly with business stakeholders and product owners to understand needs and priorities.
• Translate business requirements into effective and scalable technology solutions.
• Make technology decisions that support both current requirements and future business objectives while maintaining fiscal responsibility.
• Collaborate across engineering, data science, product, and business teams in a highly collaborative enterprise environment.

Benefits

• Competitive pay and bonuses
• Generous retirement plan
• Employee stock purchase plan with matching contributions
• Flexible and remote work opportunities
• Health care benefits (medical, dental, vision)
• Tuition assistance
• Wellness programs (fitness reimbursement, Employee Assistance Program)
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefit

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level