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Feature Lead - Technology

Ghr

AddisonPosted yesterdayDirect from company

  • LocationAddison
  • Work typeNot stated
  • EmploymentFull-time
  • Posted26 October 2026
  • SourceGhr's careers page (Workday)
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About the role

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Position Summary:
This job is responsible for providing leadership, technical direction and oversight to a team delivering technology solutions. Key responsibilities of the job are to provide oversight of the design, implementation, and maintenance of complex computer programs, align technical solutions to business objectives, and ensure that coding practices/quality comply with software development standards. Job expectations include conducting multiple software implementations and applying both depth and breadth in knowledge of several technical competencies. We are seeking a highly skilled and hands-on Feature Lead to lead the design, development, and delivery of enterprise GenAI orchestration and integration solutions. This role will serve as the technical lead responsible for transforming AI capabilities into scalable business solutions by orchestrating workflows, integrating AI services, and ensuring seamless connectivity across upstream and downstream systems.
The successful candidate will provide end-to-end ownership of complex features, drive technical excellence, mentor engineers, and collaborate with architecture, product, infrastructure, and business teams to deliver secure, reliable, and scalable AI-powered solutions. This position requires both strong technical depth and leadership capabilities.

Responsibilities:

- Designs, develops and is accountable for feature delivery

- Applies enterprise standards for solution design, coding and quality

- Ensures solution meets product acceptance criteria with minimal technical debt

- Guides the team on work breakdown and execution

- Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria

- Plays a team lead role (as an individual contributor) and mentors the team

- Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)

- Technical Leadership

- Lead the design, development, and implementation of enterprise-scale GenAI orchestration solutions.

- Provide technical leadership across feature teams throughout the software development lifecycle.

- Conduct architecture and design reviews to ensure scalability, resiliency, security, and maintainability.

- Establish engineering best practices and promote high-quality software delivery.

- Orchestration & Workflow Automation

- Design and develop workflow orchestration solutions using Camunda and Python-based services including the Human in the Loop.

- Build reusable orchestration patterns, APIs, frameworks, and platform components.

- Integrate AI/LLM capabilities into business workflows and operational processes.

- Drive automation strategies that improve delivery speed, efficiency, and business outcomes.

Required Qualifications

- Bachelor's degree in Computer Science, Engineering, or related discipline.

- 8+ years of software engineering experience with progressively increasing technical leadership responsibilities.

- Experience in leading complex enterprise application or platform initiatives.

- Strong expertise in Python development and microservices architecture.

- Experience with workflow orchestration platforms such as Camunda.

- Experience with REST APIs, event-driven architectures, and distributed systems.

- Strong understanding of cloud-native application development and container technologies.

- Experience integrating enterprise applications across complex ecosystems.

- Proven experience performing architecture and technical design reviews.

- Strong analytical, troubleshooting, and problem-solving skills.

Desired Qualifications

- Experience delivering GenAI, AI/ML, or intelligent automation solutions.

- Experience with OpenShift, Kubernetes, or cloud platforms.

- Knowledge of LLM integration frameworks and AI orchestration patterns.

- Experience with observability, monitoring, and operational excellence practices.

- Familiarity with document processing, OCR, workflow automation, or Human-in-the-Loop platforms.

- Experience in financial services and regulated environments.

Skills:

- Automation

- Influence

- Result Orientation

- Stakeholder Management

- Technical Strategy Development

- Architecture

- Business Acumen

- Risk Management

- Solution Delivery Process

- Solution Design

- Agile Practices

- Analytical Thinking

- Collaboration

- Data Management

- DevOps Practices

Shift:
1st shift (United States of America)

Hours Per Week:
40

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