AI Technical Scrum Master with Python Development

Guidehouse•Tysons, VA

9d•$98,000 - $163,000

About The Position

Guidehouse is 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. The primary responsibility is serving as Scrum Master and Agile delivery lead for a cross-functional team; Python development is a secondary contribution based on sprint priorities, team capacity, and technical need, not a second full-time role. The role facilitates Agile ceremonies, coaches teams, removes impediments, coordinates dependencies, and drives continuous improvement across teams building trusted, secure, and scalable AI-enabled information systems. It also contributes maintainable Python code for defined backlog items such as automation, APIs, integrations, data-processing utilities, testing, prototypes, and internal delivery tools. The successful candidate works with Product Owners, business stakeholders, Release Train Engineers, architects, engineers, data scientists, testers, security teams, and operations teams to plan and deliver AI solutions that improve workflows, decision-making, and mission outcomes. The role supports AI delivery considerations such as experimentation, model improvement, data dependencies, integration readiness, evaluation, validation, governance, security, and operational readiness. It also promotes responsible AI practices, including human review, transparency, auditability, and output validation. Candidates must be able to obtain and maintain a Federal or DoD Public Trust, with approved adjudication required before onboarding. An active Public Trust or suitability is preferred. The position requires a bachelor's degree in a relevant field or four additional years of relevant experience in lieu of a degree, at least four years of Scrum Master experience, and at least two years of hands-on Python development experience. Annual salary range: $98,000–$163,000, with compensation dependent on factors including skills, experience, training, clearance, certifications, and organizational needs.

Requirements

Must be able to obtain and maintain a Federal or DoD Public Trust; approved adjudication is required before onboarding.
Bachelor's degree in Information Technology, Computer Science, Engineering, Business, Data Science, or a related field, or four additional years of relevant experience in lieu of a degree.
At least four years of experience as a Scrum Master supporting enterprise software delivery teams.
Demonstrated Scrum Master experience 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.
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 enterprise delivery 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.
At least two years of hands-on Python software development experience supporting production applications, enterprise solutions, automation, data engineering, or system integration.
Proficiency in Python fundamentals, including object-oriented programming, data structures, modules, exception handling, logging, package management, and maintainable, 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.
Ability to balance primary Scrum Master responsibilities with part-time Python development according to sprint priorities, capacity, and team needs.
Ability to recognize and 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

Active Public Trust or suitability.
SAFe Scrum Master, Certified ScrumMaster, PMI Agile Certified Practitioner, or 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 integrating with AWS services such as AWS Lambda, Amazon API Gateway, Amazon S3, Amazon Bedrock, Amazon SageMaker, AWS Glue, or Amazon DynamoDB.
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 Scrum Master and Agile delivery lead for an Agile team delivering AI-enabled information systems in a SAFe environment.
Facilitate daily stand-ups, sprint planning, backlog refinement, sprint reviews, retrospectives, and other synchronization activities.
Support Program Increment Planning, iteration execution, dependency coordination, risk management, and alignment with 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, sprint-ready backlog through collaboration among product, business, and technical stakeholders.
Apply Agile practices consistently and pragmatically in alignment with SAFe principles and organizational standards.
Protect capacity for Scrum Master responsibilities and transparently plan part-time Python development commitments.
Help teams manage AI 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 to support practical, usable, secure, supportable, release-ready AI capabilities.
Translate complex technical work into clear plans, risks, dependencies, outcomes, and decisions for business and program stakeholders.
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.
Use Agile metrics and team insights to identify improvement opportunities and improve sprint and Program Increment execution.
Facilitate retrospectives that result in specific, achievable, measurable improvement actions.
Coordinate dependencies, risks, constraints, decisions, and integration points across teams and stakeholders.
Maintain visibility into team progress, delivery health, impediments, technical challenges, and milestones; support release readiness and transition into testing, deployment, operations, and sustainment.
Develop and maintain Python automation scripts, REST APIs, system integrations, data-processing utilities, testing tools, prototypes, and internal delivery utilities for defined backlog items.
Write clean, modular, reusable, documented, testable, and secure Python code in collaboration with engineers, data scientists, and 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, pull requests, peer reviews, automated testing, CI/CD activities, defect resolution, and technical documentation.
Follow established architecture, engineering, security, quality, coding, testing, and documentation standards.
Communicate development progress, risks, dependencies, and capacity constraints during sprint execution; coordinate with the Product Owner and technical lead when Scrum Master duties affect development commitments.
Avoid becoming the sole owner or single point of failure for business-critical Python components.
Incorporate architecture, governance, cybersecurity, testing, documentation, and release requirements into backlog planning and execution, including practices for systems processing sensitive information.
Promote responsible AI delivery, including human-in-the-loop review, transparency, auditability, output validation, and governance controls.
Champion SAFe and Scrum practices, Agile maturity, collaboration, trust, adaptability, evidence-based decisions, and continuous learning.
Identify opportunities to use automation and responsible AI-assisted tools to reduce administrative effort and improve delivery visibility without replacing human judgment or accountability.

Benefits

Medical, prescription drug, dental, and vision insurance
Personal and family sick time
Company-paid holidays
Parental leave
401(k) retirement plan
Group term life insurance and travel assistance
Voluntary life and AD&D insurance
Health Savings Account
Health Care and Dependent Care Flexible Spending Accounts
Transit and parking commuter benefits
Short-term and long-term disability
Tuition reimbursement
Personal development, certifications, and learning opportunities
Employee referral program
Corporate-sponsored events and community outreach
Care.com annual membership
Employee Assistance Program
Supplemental benefits, including critical care, hospital indemnity, accident insurance, legal assistance, and identity theft protection
Position may be eligible for a discretionary variable incentive bonus