Health Solutions Architect, Senior Manager

Job Number: R0250246

About the role

Serve as a senior Solution Architect who blends technical leadership with hands‑on engineering across AI, software, cloud, and data systems. Shape advanced technical solutions that address complex mission and business challenges, emphasizing AI‑enabled design, development, and operations. Collaborate closely with program, engineering, and business development teams to turn architectural concepts into prototypes, demonstrations, reusable patterns, and implementable solutions. Lead technical solutioning for captures and proposals while helping teams adopt AI‑assisted engineering in daily workflows. Own cross‑domain solution architecture spanning AI, software, cloud, integration, and data to ensure alignment with mission and business needs. Assess current applications and environments to define target architectures and transition paths using modern patterns, platforms, and incremental transformation techniques. Coach engineers and architects through complex challenges and guide adoption of AI‑enabled engineering practices. Due to the nature of work performed within this facility, U.S. citizenship is required.

Responsibilities

• Blend technical leadership with hands‑on engineering across AI, software, cloud, and data systems
• Shape advanced technical solutions addressing complex mission and business challenges with emphasis on AI‑enabled design, development, and operations
• Collaborate with program, engineering, and business development teams to turn architectural concepts into prototypes, demonstrations, reusable patterns, and implementable solutions
• Lead technical solutioning for captures and proposals
• Help teams adopt AI‑assisted engineering in daily workflows
• Own cross‑domain solution architecture spanning AI, software, cloud, integration, and data
• Assess current applications and environments to define target architectures and transition paths using modern patterns, platforms, and incremental transformation techniques
• Coach engineers and architects through complex challenges and guide adoption of AI‑enabled engineering practices

Requirements

• Experience architecting AI-enabled solutions using generative AI, large language models, retrieval-augmented generation, or agentic workflows
• Experience developing technical solutions for customer-facing, business development, capture, or proposal efforts, including prototypes, demonstrations, proofs of concept, or reference implementations to validate architectures and communicate solution concepts
• Experience using AI-assisted software engineering tools such as Claude Code, coding agents, or code-analysis tools to develop prototypes, analyze existing systems, or accelerate engineering activities
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree and 8+ years of experience with solution architecture, software engineering, cloud architecture, or data architecture, including architecting and implementing integrated solutions across software applications, cloud services, data platforms, and APIs in AWS environments, or 12+ years of experience in lieu of a degree

Preferred qualifications

• Experience implementing generative AI or agentic AI solutions involving model and tool integration, evaluation, governance, or responsible AI practices
• Experience developing production software using Python, SQL, APIs, infrastructure-as-code, CI/CD pipelines, containers, or cloud-native services
• Experience assessing legacy applications and defining incremental transformation and transition strategies
• Experience with Databricks, including lakehouse architectures, data engineering, analytics, machine learning, or AI workloads
• Ability to translate complex business problems into practical technical solutions and communicate architecture decisions to executives, customers, developers, and other stakeholders
• Architecture, Databricks, Machine Learning, or Solution Architecture AWS, GCP, or Microsoft Certification
• Cloud Architecture, Generative AI or AI Engineering, Machine Learning, or Data and AI Platform Architecture AWS, GCP, or Microsoft Certification

Security & clearance

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Benefits

Health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Recognition awards program for exceptional performance and superior demonstration of values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in benefit programs; individuals not meeting the threshold are eligible for select offerings only (not inclusive of health benefits).

Compensation

Projected compensation range: $142,900.00 to $266,000.00 (annualized USD). Salary is determined by factors including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. This estimate represents the typical salary range and is one component of the total compensation package.

Work model

Remote: If listed as remote, there may still be occasions requiring in-person work at a Booz Allen or customer facility. Hybrid: If listed as hybrid, expected to work from a Booz Allen or customer facility in alignment with leadership expectations and role needs. Onsite: If listed as onsite, work is primarily performed full-time at a customer facility collaborating directly with colleagues and customers as required. Employees working virtually are generally expected to have cameras on during meetings.