[Hiring] Technical Lead @Perficient

Role Description

We currently have a career opportunity for a Technical Lead to join our remote team.

The Technical Lead is a senior, hands-on engineer who both delivers software and raises the AI-driven development capability of their pod. Beyond writing code, this person:

• Coaches and enforces AI-first development practices across the team.
• Partners closely with the workstream Product Owner to translate business needs into technical requirements and well-formed user stories.
• Guides the team on priorities.

The role requires a strong, demonstrable grasp of agentic and modern AI principles, and is partially client-facing, so comfort and credibility in front of clients is essential. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions, participate in Sales and various pursuits focused on our clients' business needs.

Responsibilities

• Deliver production-quality software as a hands-on senior developer within an AI pod.
• Coach and enforce AI-driven development processes across pod developers — set standards, review adoption, and uplift the team’s effective use of AI tooling, agents, and reusable skills.
• Partner with the workstream Product Owner to understand technical requirements, generate clear user stories with acceptance criteria, and guide the team on priorities and delivery sequencing.
• Apply agentic AI principles — agent and skill design, prompt engineering, tool/function orchestration — to accelerate delivery while keeping humans accountable for decisions and quality.
• Serve as a technical point of contact in client-facing settings: demos, requirement discussions, and technical Q&A.
• Maintain engineering quality, architectural coherence, and delivery velocity as requirements evolve.
• Identify and clear blockers early, mentor developers, and model the AI-first operating model for the pod.
• Work with application developers, users, operational leadership, and subject matter experts to understand current and future operational data analysis goals.
• Recommend modern technology stacks to meet those goals and help engineering teams migrate towards their use.
• Collaborate with the customer's operations and technology leadership on the future analytic goals of the organization, and design technical solutions to meet those goals.
• Utilize analytical, process, and/or technical skills to meet project objectives and deliverables that are self-directed and within project scope.

Qualifications

• Minimum 8 years of hands-on software development experience delivering production applications.
• Experience in technology consulting, enterprise and solutions architecture, and architectural frameworks.
• Familiarity with the platform stack (.NET, React / Next.js, Azure) and comparable enterprise technologies.
• Strong, demonstrable grasp of agentic AI and AI engineering principles — agents, reusable skills, prompt engineering, tool/function calling, and orchestration.
• Experience in complete project life cycle activities on development and maintenance projects.
• Proven track record of technical leadership roles delivering solutions within defined timeframes.
• Proven experience coaching and mentoring developers and establishing engineering practices and standards.
• Experience partnering with Product Owners to shape technical requirements and author user stories with clear acceptance criteria.
• Skilled in building relationships with clients and in practice development activities.
• Demonstrated success in performing work and managing complex and/or large consulting projects.
• Excellent written and oral communication skills; Ability to communicate effectively with technical and non-technical staff.
• Comfort and credibility in client-facing settings — demos, requirement sessions, and technical discussions.
• Ability to guide priorities and sequencing across a delivery team as requirements change.
• Familiarity with Agile or iterative delivery methods.
• Must be open to travel.

Preferred Skills and Education

• Experience working with a globally distributed team and managing off-shore teams.
• Master’s degree in Computer Science or related field.
• Experience operating within an AI-first / AI-pod delivery model.
• Experience building reusable AI skills and agents and embedding them into delivery workflows.

Salary Information

The salary range for this position is $93,600 - $170,640. This range takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs.