AI Technical Scrum Master with Python Development

Inizio Partners Corp•Washington D.C., WA

3d•Remote

About The Position

We are seeking an AI Technical Scrum Master with Python Development to lead Agile delivery for mission-focused, AI-enabled software products in a SAFe Agile environment while providing targeted, part-time Python development support. This is an intentionally hybrid position, not two full-time roles combined into one. The primary responsibility is serving as the Scrum Master and Agile delivery lead for a cross-functional team. The secondary responsibility is contributing hands-on Python development for automation, APIs, integrations, data-processing utilities, testing, and selected technical backlog items based on sprint priorities and available capacity. The successful candidate will facilitate Agile ceremonies, remove delivery impediments, strengthen team execution, coordinate dependencies, and foster continuous improvement across teams building trusted, secure, and scalable AI-enabled information systems. The candidate will also apply practical Python development skills to support delivery when additional technical capacity is needed, without compromising Scrum Master responsibilities, team coaching, or Agile leadership. You will work closely with Product Owners, business stakeholders, Release Train Engineers, architects, software engineers, data scientists, testers, security teams, and operations teams to plan, coordinate, and deliver AI solutions that improve operational workflows, decision-making, and mission outcomes. The role requires strong Scrum Master leadership, experience with SAFe Agile delivery, an understanding of modern software engineering practices, and the ability to contribute maintainable Python code within an enterprise delivery environment. This position is ideal for a technically capable servant leader who can enable a high-performing Agile team, communicate effectively with technical and non-technical stakeholders, and provide focused Python development support for well-defined backlog items.

Requirements

Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
Bachelor's degree in Information Technology, Computer Science, Engineering, Business, Data Science, or a related field, OR an additional FOUR (4) years of relevant experience in lieu of a degree.
Minimum THREE (3) years of experience as a Scrum Master supporting enterprise software delivery teams.
Demonstrated experience serving as a Scrum Master in a SAFe Agile environment, including sprint execution, Program Increment Planning, dependency coordination, risk and issue management, and cross-team collaboration.
Strong knowledge of Agile, Scrum, Kanban, and SAFe delivery principles and practices.
Proven ability to facilitate Agile ceremonies, coach teams, remove impediments, manage competing priorities, and drive continuous improvement.
Experience supporting cross-functional teams that include Product Owners, engineers, architects, data scientists, testers, security personnel, and operations staff.
Strong understanding of the software delivery lifecycle, including planning, design, development, testing, security, release, deployment, and operational readiness.
Experience supporting delivery in enterprise environments with governance, compliance, security, quality, and documentation requirements.
Experience supporting AI-enabled information systems, advanced analytics platforms, machine learning solutions, intelligent automation, or other data-driven applications.
Minimum TWO (2) years of hands-on Python software development experience supporting production applications, enterprise solutions, automation, data engineering, or system integration use cases.
Demonstrated proficiency with Python fundamentals, including object-oriented programming, data structures, modules, exception handling, logging, package management, and development of maintainable and reusable code.
Experience developing or integrating REST APIs, backend services, automation scripts, system integrations, or data-processing workflows using Python.
Experience with Python testing and quality practices, including unit testing, debugging, code reviews, static analysis, dependency management, and secure coding standards.
Experience using Git-based source control, branches, pull requests, peer reviews, and modern CI/CD practices.
Ability to translate technical backlog items into appropriately sized development tasks and communicate implementation risks, assumptions, dependencies, and tradeoffs.
Demonstrated ability to balance primary Scrum Master responsibilities with part-time Python development based on sprint priorities, available capacity, and team needs.
Ability to recognize and clearly communicate when Agile leadership obligations require reprioritization, reassignment, or adjustment of development commitments.
Strong communication, facilitation, organization, problem-solving, and stakeholder-management skills.

Nice To Haves

SAFe Scrum Master, Certified ScrumMaster, PMI Agile Certified Practitioner, or a similar Agile certification.
Experience with Python frameworks and libraries such as FastAPI, Flask, Django, Pandas, NumPy, Pydantic, PyTest, or equivalent tools.
Experience creating API specifications, data-validation models, automated tests, and reusable Python packages.
Experience developing Python solutions that integrate with AWS services such as AWS Lambda, Amazon API Gateway, Amazon S3, Amazon Bedrock, Amazon SageMaker, AWS Glue, Amazon DynamoDB, or related cloud services.
Familiarity with containerized Python applications, Docker, infrastructure automation, application monitoring, logging, and observability practices.
Experience supporting Generative AI, large language model, or AI-assisted software products involving summarization, intelligent search, document understanding, conversational experiences, retrieval-augmented generation, or decision support.
Familiarity with AI/ML delivery concepts such as model evaluation, prompt iteration, human-in-the-loop workflows, retrieval-augmented generation, confidence scoring, output validation, and governance controls.
Experience working with regulated or sensitive data, including PII, PHI, CUI, retention requirements, auditability, and security controls.
Experience with Jira, Confluence, Miro, or similar Agile planning and collaboration platforms.
Experience in government, healthcare, human services, case management, grants management, or other mission-oriented operational environments.
Experience partnering with Product Owners, Release Train Engineers, architects, technical leads, and leadership teams to improve Agile maturity, engineering discipline, and release outcomes.
Experience using Generative AI-assisted tools to improve meeting preparation, sprint reporting, action tracking, risk identification, backlog refinement, software development, testing, and documentation while maintaining security, governance, and human oversight.

Responsibilities

Serve as the Technical Scrum Master and Agile Delivery Lead
Facilitate daily stand-ups, sprint planning, backlog refinement, sprint reviews, retrospectives, and other team synchronization activities.
Support Program Increment Planning, iteration execution, dependency coordination, risk management, and alignment with broader program objectives.
Partner with Product Owners, Release Train Engineers, technical leads, and stakeholders to promote transparency, delivery discipline, and predictable outcomes.
Help maintain a healthy, prioritized, and sprint-ready backlog by facilitating effective collaboration among product, business, and technical stakeholders.
Ensure Agile practices are applied consistently and pragmatically in alignment with SAFe principles and organizational delivery standards.
Protect sufficient capacity for Scrum Master responsibilities while transparently planning any part-time Python development commitments.
Enable Delivery of AI-Enabled Information Systems
Support teams delivering AI-enabled capabilities such as document understanding, semantic search, summarization, recommendations, intelligent automation, conversational experiences, predictive analytics, and decision-support tools.
Help the team manage AI-specific delivery considerations, including experimentation, iterative model improvement, data dependencies, integration readiness, model and prompt evaluation, and validation of AI-generated outputs.
Coordinate across product, engineering, data science, testing, security, governance, and operations teams to help ensure AI capabilities are practical, usable, secure, supportable, and ready for release.
Promote iterative delivery approaches that balance delivery speed, technical feasibility, quality, trust, governance, security, and mission value.
Help translate complex technical work into clear plans, risks, dependencies, outcomes, and decisions for business and program stakeholders.
Remove Impediments and Improve Team Performance
Proactively identify, track, escalate, and help resolve impediments affecting delivery, quality, velocity, or team effectiveness.
Coach team members on Agile practices, collaboration, self-organization, estimation, work management, accountability, and continuous improvement.
Foster an environment of focus, transparency, inclusion, ownership, and continuous learning.
Use Agile metrics and team insights to identify improvement opportunities and support more effective sprint and Program Increment execution.
Help the team improve delivery flow, reduce bottlenecks, manage technical and delivery risks, and strengthen cross-functional coordination.
Facilitate retrospectives that produce specific, achievable, and measurable improvement actions.
Drive Cross-Team Coordination and Program Execution
Coordinate dependencies, risks, constraints, decisions, and integration points across teams and stakeholders.
Work with Product Owners and technical leads to clarify priorities, maintain sprint readiness, and establish achievable delivery commitments.
Facilitate communication between technical and non-technical stakeholders to maintain alignment on scope, progress, risks, dependencies, and decisions.
Maintain visibility into team progress, delivery health, impediments, technical challenges, and upcoming milestones.
Contribute to release readiness and support the smooth transition of completed capabilities into testing, deployment, operations, and sustainment.
Contribute Part-Time Python Development
Contribute hands-on Python development for clearly defined technical backlog items after Scrum Master and Agile delivery responsibilities are appropriately planned and protected.
Develop and maintain Python-based automation scripts, REST APIs, system integrations, data-processing utilities, testing tools, prototypes, and internal delivery utilities.
Write clean, modular, reusable, documented, testable, and secure Python code in collaboration with software engineers, data scientists, and solution architects.
Develop or support lightweight backend services and integrations using appropriate Python frameworks and libraries.
Create unit and integration tests, troubleshoot defects, review logs, and support validation of Python components.
Participate in Git-based source-control practices, pull requests, peer reviews, automated testing, CI/CD activities, defect resolution, and technical documentation.
Work within established architecture, engineering, security, quality, and coding standards.
Communicate development progress, risks, dependencies, and capacity constraints transparently during sprint execution.
Avoid becoming the sole owner or single point of failure for business-critical Python components.
Coordinate with the Product Owner and technical lead when Scrum Master duties or unplanned impediments affect development capacity or commitments.
Support Quality, Governance, and Responsible Delivery
Encourage Agile delivery practices that support quality, traceability, security, compliance, and operational readiness.
Help incorporate architecture, governance, cybersecurity, testing, documentation, and release requirements into backlog planning and execution.
Support delivery practices appropriate for systems processing PII, PHI, CUI, or other sensitive information.
Promote responsible delivery of AI-enabled capabilities, including human-in-the-loop review, transparency, auditability, output validation, and appropriate governance controls.
Ensure part-time development contributions follow the same engineering, testing, security, and documentation standards required of the broader development team.
Champion Agile Maturity and Continuous Improvement
Coach team members and stakeholders on SAFe Agile values, Scrum practices, and effective delivery behaviors.
Help strengthen Agile maturity by sharing good practices, delivery insights, technical understanding, and lessons learned.
Encourage collaboration, trust, adaptability, and evidence-based decision-making in response to evolving mission and business needs.
Identify opportunities to use automation and responsible AI-assisted tools to reduce administrative effort and improve delivery visibility without replacing human judgment or accountability.