Manager - Software Engineer (Agentic Engineering) - Tax Technology

Deloitte•Washington, DC

102d•$137,700 - $261,625•Hybrid

About The Position

Are you someone who challenges the status quo, acts autonomously, and has experience leading platform and knowledge engineering work in broad-scale transformation programs? Are you ready to take the next leap in your career by leveraging your experience to convert a legacy software development process into one led by agentic models? Are you ready to build the tooling and knowledge infrastructure that other engineering teams will depend on every day? If the answer to all of the above questions is “Yes,” come join the world's leading professional services firm. If you are prepared and poised to take the next step in your career, you can help build the platform that powers agentic software delivery across a global business. Then we want to talk to you.

Requirements

Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 – 3 days per week
Bachelor’s degree in computer science, information technology, software engineering, or a related field.
5+ years of experience developing and deploying solutions using modern programming languages and cloud-native platforms (for example, Python, Node.js, TypeScript, SQL/NoSQL, AWS).
Strong solution design and architecture capabilities, with experience in Python agentic AI patterns, LLM evaluation patterns, retrieval-augmented generation, tool calling, stateful workflows, observability, and cloud-native deployment.
Ability to design scalable, secure, maintainable, and reusable AI solutions; define service boundaries and integration patterns; establish evaluation and reliability frameworks; and ensure alignment with enterprise architecture, security, compliance, and operational standards.
Hands-on experience building or integrating with large language model tooling, including retrieval-augmented generation, managed knowledge bases, and prompt or steering-content design (AWS Bedrock or equivalent).
Demonstrated experience building integrations between enterprise development, program management, and ticketing platforms (for example, Azure DevOps, ServiceNow, Jira, Confluence) using their APIs.
Demonstrated ability to design and build tools, utilities, or workflows that process and correlate information across multiple platforms.
Proven ability to implement and maintain automated CI/CD pipelines and quality assurance practices within Agile development environments.
Limited immigration sponsorship may be available.
Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
One of the following active accreditations obtained: Licensed CPA in state of practice/primary office if eligible to sit for the CPA, Licensed attorney, Enrolled Agent, Technology Certifications (AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP), Certified SAFe® Agile Software Engineer, Certified SAFe® DevOps Practitioner, ISTQB, Microsoft Azure, Microsoft Certified Solutions Developer (MCSD), Oracle Certified Professional).

Nice To Haves

Direct experience with agentic development tools such as AWS Kiro, GitHub Copilot, or similar, including designing steering files or context that these tools consume.
Experience architecting knowledge bases for retrieval-augmented generation, including chunking strategy, embedding selection, and relevance tuning.
Experience with Azure DevOps and ServiceNow APIs, webhooks, or connectors, including building bidirectional automation between the two.
Prior experience leading or building a platform engineering team that treats internal engineering teams as its customers.
Prior transformation or modernization experience, leading a team as a technical lead through a shift in development methodology.
Skilled at translating technical program management needs, such as risk and dependency tracking, into working software
Track record of effective code reviews, ensuring code quality, security, and alignment with best practices.
Strong written and verbal communication skills, evidenced by experience collaborating across technical and non-technical teams.
Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Responsibilities

Platform Ownership: Lead the architecture, build, and ongoing support of the LLM Wiki, AWS Bedrock-managed knowledge bases, and related steering content that power agentic development tools.
Agentic Solution Architecture: Design scalable, secure, and maintainable AI solutions using retrieval-augmented generation, tool calling, and stateful workflows, with LLM evaluation, observability, and cloud-native deployment built in.
Enterprise Alignment and Governance: Define service boundaries and integration patterns, and ensure the platform aligns with enterprise architecture, security, compliance, and operational standards.
Tool Integrations and Automation: Build and maintain integrations across AWS Kiro, Azure DevOps, and ServiceNow so program artifacts, defects, and pull request workflows move automatically through the platform.
Risk and Dependency Enablement: Deliver tools and workflows that help technical program managers identify risk, dependencies, and delivery issues across platforms.