Senior AI Developer – Investments & Agentic Platform

Invesco Ltd. • Atlanta, GA

3d • Hybrid

About The Position

Invesco is seeking an experienced, hands-on Senior AI Developer to accelerate adoption of artificial intelligence across Investments Technology. The role designs and builds enterprise AI capabilities for investment, research, risk, performance, and distribution functions. It works with architects, engineers, product owners, and business stakeholders to deliver scalable solutions, establish reusable patterns, and promote modern AI engineering practices.

A major focus is leading implementation of a common semantic layer for investment and distribution data, developing AI agents to support investment workflows, and helping teams adopt Spec-Driven Development and AI-assisted engineering. The position combines hands-on solution implementation with technical innovation and thought leadership, including evaluating emerging technologies and sharing expertise across development teams.

The role also contributes to an AI ecosystem that supports experimentation and enterprise adoption, with attention to governance, security, observability, and operational needs. Employees are expected to follow Invesco’s workplace policy, which as of October 1, 2025, requires at least four full days per week in an Invesco office.

Requirements

• Strong software engineering experience with demonstrated delivery of enterprise applications.
• Hands-on experience designing and developing Generative AI, agentic AI, or machine learning solutions.
• Experience working with modern AI frameworks, orchestration platforms, and large language models.
• Strong understanding of enterprise application architecture and integration patterns.
• Experience working directly with business stakeholders to translate requirements into technical solutions.
• Excellent problem-solving, communication, and collaboration skills.
• Passion for continuous learning and applying emerging technologies.

Nice To Haves

• Experience within asset management, wealth management, investment management, research, trading, risk, or financial services.
• Experience developing semantic models, knowledge layers, metadata frameworks, or business taxonomies.
• Experience building enterprise AI agents and AI-enabled workflow solutions.
• Experience implementing AI governance, evaluation, and observability capabilities.
• Experience operating across Snowflake, AWS, and Microsoft AI ecosystems.

Responsibilities

• Build reusable AI platform components for use across multiple business capabilities.
• Integrate AI solutions with enterprise data platforms, model platforms, and business applications.
• Support governance, security, observability, and operational requirements for production AI solutions.
• Contribute to a scalable and maintainable AI ecosystem for experimentation and enterprise adoption.
• Lead design and implementation of a common semantic layer for Investments and Distribution use cases.
• Define semantic models, taxonomies, metadata structures, and business definitions to improve data accessibility and consistency.
• Work with data, engineering, and business teams to establish a governed, reusable data foundation for AI solutions.
• Support natural-language access to investment data through semantic and AI services.
• Design and develop AI agents for investment research, portfolio management, risk analysis, performance analytics, product intelligence, and distribution workflows.
• Build reusable agent frameworks, orchestration patterns, and integration approaches.
• Develop multi-step AI workflows combining structured and unstructured data sources.
• Establish approaches for agent evaluation, testing, observability, and continuous improvement.
• Stay current with emerging AI technologies, frameworks, and industry trends, and identify opportunities to apply them within Investments Technology.
• Evaluate tools and platforms through proof-of-concepts and practical experimentation.
• Contribute to AI architecture decisions and implementation standards.
• Share knowledge through mentoring, demonstrations, technical workshops, and documentation.
• Promote engineering best practices for scalable, secure, and maintainable AI solutions.
• Help introduce and scale Spec-Driven Development practices within Investments Technology.
• Use AI-assisted development tools to improve productivity and software quality.
• Contribute to standards for specification creation, automated testing, and AI-assisted delivery workflows.
• Develop reusable templates, reference implementations, and engineering patterns to accelerate solution delivery.

Benefits

• Flexible paid time off
• Hybrid work schedule
• 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
• Health & wellbeing benefits
• Parental Leave benefits
• Employee stock purchase plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed