Job Description:
Position Overview:
Technically accomplished Software Engineer with a passion for GenAI technologies who will identify, develop, and implement AI-driven solutions within FINRA's software development lifecycle. This role requires hands-on experience with GenAI tools, strong engineering judgment to discern high-value automation opportunities, and the ability to serve as a technical advisor on AI implementation. The ideal candidate combines deep software engineering expertise with excellent communication and presentation skills to effectively collaborate with cross-functional teams and drive adoption of AI-enhanced development practices across the organization through training, workshops and community building.
Core Responsibilities / AI Enablement & Solution Development:
Collaborate with Enablement team, Engineers, and customers to identify needs and develop AI-driven SDLC solutions
Prototype and validate solutions as AI tools and processes evolve throughout the year
Demonstrates strong engineering taste and product judgment—discerning what to build (which automations truly add value), how to build it (balancing simplicity with sophistication), and the ability to communicate these decisions with clarity to both technical and non-technical stakeholders.
Apply problem-solving skills to address technical challenges in AI tool adoption and integration
Bridge the gap between emerging AI capabilities and practical implementation in FINRA's SDLC
Rapidly incorporate new solutions into training materials and delivery as they are developed
Serve as technical advisor on AI tool selection, implementation patterns, and best practices
Content Creation & Stakeholder Collaboration:
Develop instructional materials covering SDLC best practices, AI integration, tools, processes, and standards for multiple training formats (self-service, instructor-led, hands-on labs)
Identify and engage subject matter experts across technology teams to contribute and validate content
Consult with technical leaders and engineers to understand processes, pain points, training needs, and solution opportunities
Build organizational relationships to gather input, secure buy-in, and promote adoption
Maintain content currency as SDLC practices, AI tools, and technologies evolve rapidly
Continuously improve training based on feedback, changing needs, and emerging technologies
Track and measure training effectiveness through assessments, feedback, and performance metrics
Training Delivery:
Facilitate instructor-led training sessions for technical and non-technical audiences
Present to groups ranging from small teams to large organizational audiences
Adapt delivery style based on audience size, technical level, and learning objectives
Provide technical demonstrations of tools, processes, and best practices
Required Skills / Technical Knowledge & Development Background:
Strong SDLC expertise including Agile, DevOps, CI/CD pipelines, version control (Git), testing strategies, and deployment practices
Developer background with hands-on software development experience and coding proficiency
AI integration in SDLC including AI-powered development tools (eg: AWS Kiro cli)
Capability to identify and correct low-quality AI-generated content
Solution development experience working with cross-functional teams to build and implement technical solutions
Deep understanding of development tools, cloud technologies, and deployment platforms
Advanced problem-solving skills to troubleshoot complex technical challenges and design innovative solutions
Instructional Design & Training Delivery
• Ability to rapidly update training content as solutions and tools evolve
Communication & Interpersonal Skills:
Confident public speaking and presentation to technical audiences of varying sizes
Ability to explain complex technical concepts clearly across organizational levels (engineers, customers, leadership)
Stakeholder management and influence without authority across Enablement teams and engineering groups
Strong written communication and documentation skills
Technical credibility to engage meaningfully with engineering teams on solution development
Collaboration & Enablement:
Cross-functional collaboration experience working with Enablement teams, engineering, and end-users
Ability to gather requirements and translate customer needs into practical solutions
Experience in iterative solution development and rapid prototyping
Comfortable working in fast-paced, evolving environments with emerging technologies
Partnership mindset to co-create solutions rather than just document existing processes
Personal Attributes:
Strong organizational and prioritization skills balancing training and enablement work
Self-starter who drives initiatives independently in ambiguous environments
Intellectually curious and technically fluent with continuous learning mindset
Highly adaptable and resilient in handling feedback and changing priorities as AI landscape shifts
Agile problem solver who can pivot quickly as new tools and techniques emerge
Preferred Qualifications / Experience:
5+ years in software development with demonstrated SDLC expertise
Experience working on enablement initiatives or internal developer tools/platforms
Experience in financial services or regulated industries (preferred)
Proven ability to learn and adopt new technologies rapidly
Education:
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related technical field
Technical certifications related to SDLC tools or practices - preferred
Success Metrics / The person in this role will be evaluated on:
Training completion rates and participant engagement
Knowledge retention measured through assessments and practical application
Feedback scores from training participants and stakeholders
Program adoption across new hires and existing employees
Solution development contributions and successful implementation of AI enablement initiatives
Time-to-productivity improvements for new developers
Content currency and rapid update cycle as practices evolve
Stakeholder satisfaction with training quality, relevance, and enablement support
Delivery consistency and schedule adherence for instructor-led sessions
Engineering team satisfaction with enablement collaboration and technical contributions
Working Relationships / Reports to: Head of Engineering Enablement
Collaborates with:
Software engineering teams and architects
DevOps tooling and platform engineers
Security and compliance teams
Product management
Internal customers/end-users of SDLC tools and processes
HR and organizational learning & development
AI/ML/SE centers of excellence
Serves: All FINRA technology employees, from new hires to senior engineers
