Technical Lead - Enterprise Application & AI Solutions

Technical Lead

Job Family:

IT Architecture/Cloud (India)

Travel Required:

None

Clearance Required:

None

What You Will Do:

• Design, build, and enhance enterprise application components supporting solution delivery, including initial delivery tranches and follow-on iterations.
• Engineer solutions using an AI‑first mindset, incorporating AI‑enabled workflows and automation as part of the core delivery approach where it adds value and is supportable long‑term by IT.
• Implement and optimize integration patterns and mass API workflows to connect systems and orchestrate end-to-end processing.
• Lead development of data architecture, database design, and data structuring approaches to support scalable solutions.
• Collaborate closely with business stakeholders and IT delivery partners in a cross‑functional, FDE model to move solutions from concept to production-ready delivery.
• Provide hands-on support as well as mentoring the junior developer(s) as needed.
• Partner with adjacent teams to ensure solutions are aligned with enterprise platforms, including emerging AI‑enabled capabilities.
• Apply enterprise standards and controls (e.g., security, access, change/release, testing standards), including additional controls for systems subject to ITGC/SOX where applicable.

What You Will Need:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field or equivalent practical experience.
• 7+ years of experience in software engineering or application development roles, with a demonstrated track record delivering enterprise‑scale, production‑ready solutions.
• Strong experience developing full‑stack applications, including back‑end services (e.g., Python) and modern JavaScript frameworks (React.js and/or Next.js, TypeScript).
• Strong experience with integration development, including designing and consuming APIs and MCPs, high‑volume / mass API patterns, and end‑to‑end system connectivity.
• Strong experience with database architecture and data structuring, including designing for scalability, maintainability, and operational support.
• Experience working with containerized applications, including Docker and Kubernetes.
• Experience using GIT repositories, such as GitHub.
• Experience working within SDLC methodologies, including requirements, design, development, testing, and deployment.
• Demonstrated ability to incorporate AI‑enabled workflows and automation into enterprise solutions (delivery practicality, not just experimentation).
• Ability to work effectively in FDE, cross‑functional delivery teams, partnering directly with business and functional stakeholders to translate needs into working solutions.
• Domain expertise as a core requirement—ability to understand and operate fluently within the HR business domain that custom portfolio solutions support.
• Excellent verbal and written communication skills.

What Would Be Nice to Have:

• Familiarity with enterprise workforce and delivery platforms, including HR systems (e.g., Workday) and adjacent staffing, resource management, finance, time/utilization, and engagement delivery systems that together support end‑to‑end resourcing and execution.
• Experience with Microsoft Azure cloud services.
• Experience with DevOps CI/CD tools, such as Azure Pipelines or GitHub Actions.

• Experience working in a delivery model that builds in rapid iteration in pods, leveraging reusable patterns, and pragmatic acceleration while maintaining enterprise controls
• Experience mentoring junior engineers and elevating pod execution through practical engineering leadership.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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Experience Level

Senior Level