Locations: Boston, MA 02108 (Hybrid - 2/3 Days Onsite/Week)
Duration: Contract
Job Description: 
The Senior Solutions Architect / Lead AI & Platform Engineer establishes the technical architecture, engineering standards, cloud foundations, and secure development practices for client’s software and artificial intelligence program.
This hands-on senior role converts promising concepts from client’s “Toy, Tool, Transform” strategy into secure, reliable, and supportable solutions. The position advises leadership on when to build, buy, configure, or integrate technology while guiding developers and directly contributing to complex software, cloud, automation, and AI initiatives.
I.  ESSENTIAL TASKS OF THE JOB:
A.    Solution Architecture & Technical Strategy
1.      Design secure, scalable architectures for enterprise applications, AI agents, data integrations, workflow automation, and cloud or hybrid-cloud platforms.
2.      Define reusable standards for APIs, identity, data access, deployment, monitoring, logging, testing, resilience, and human approval workflows.
3.      Evaluate technical options and recommend whether client should build, buy, configure, integrate, modernize, or retire a solution based on security, cost, reliability, and supportability.
4.      Maintain architecture diagrams, data flows, technical decisions, system dependencies, and production support documentation.
B.    AI, Software & Integration Engineering
1.      Lead and contribute to the development of applications, copilots, RAG solutions, custom AI agents, APIs, data pipelines, and automated workflows.
2.      Design secure integrations with Microsoft 365, including Outlook, SharePoint, OneDrive, Teams, Entra ID, Microsoft Graph, Copilot, and approved Google Cloud and Gemini for Government services.
3.      Use modern engineering practices and AI coding assistants to produce maintainable, tested, documented, and secure software.
4.      Ensure AI solutions preserve source-system permissions, provide traceability, and include appropriate evaluation, monitoring, and human oversight.
C.    Cloud, Platform & Reliability Engineering
1.      Design and support cloud, hybrid-cloud, Linux, containerized, and on-premises environments using Azure, GCP, AWS, Docker, Kubernetes, and related technologies.
2.      Implement infrastructure-as-code, configuration management, CI/CD, automated testing, patching, secrets management, and repeatable deployment practices using tools such as Terraform, Ansible, Bash, and PowerShell.
3.      Establish observability, alerting, service reliability, backup, recovery, capacity, and incident-response standards for production systems.
4.      Lead complex troubleshooting, root-cause analysis, vulnerability remediation, and corrective engineering actions.
D.    Security & Technical Leadership
1.      Apply secure development, least-privilege access, encryption, vulnerability management, dependency scanning, container security, and software supply-chain controls.
2.      Partner with cybersecurity, infrastructure, network, database, and operational teams to ensure solutions meet client security and regulatory requirements.
3.      Provide architecture reviews, code reviews, technical direction, training, and mentoring to junior developers and project teams.
4.      Support innovation labs, prototypes, demonstrations, and production transitions associated with the “Toy, Tool, Transform” strategy.
II.  SECONDARY JOB TASKS
1.      Participate in technology planning, vendor evaluations, procurement reviews, platform upgrades, and application modernization efforts.
2.      Assist with technical interviews, consultant selection, statements of work, and vendor performance reviews.
3.      Perform other duties as required.
III.  JOB REQUIREMENTS AND QUALIFICATIONS
A. Education Level
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Cybersecurity, or a related field preferred. Equivalent advanced experience, education, and technical certifications may be considered.
B. Experience in Related Field
Minimum 8 years of progressive experience in software engineering, solutions architecture, cloud engineering, platform engineering, DevOps, site reliability engineering, or related technical work.
Demonstrated experience designing, building, securing, deploying, monitoring, and supporting enterprise production systems, including experience guiding other developers or engineers.
Experience with AI-enabled applications, RAG, intelligent agents, automation, or enterprise data integrations strongly preferred.
C. Unique Expertise/Certification/Registrations
Advanced proficiency in Python and working experience with JavaScript/TypeScript, Node.js, Bash, PowerShell, SQL, APIs, and modern application frameworks.
Strong experience with Linux, Azure, GCP or AWS, Docker, Kubernetes, Terraform or comparable infrastructure-as-code, configuration management, Git, CI/CD, and observability tools.
Working knowledge of relational and NoSQL databases, Microsoft 365 integrations, identity and access management, cybersecurity, vulnerability management, and software supply-chain security.
Strong communication, documentation, troubleshooting, mentoring, and executive advisory skills. Relevant cloud, Linux, security, Kubernetes, DevOps, or AI certifications preferred.
Current AI Initiatives
·         Microsoft Copilot implementation
·         Google Gemini for Government implementation
·         Reviewing and cataloging enterprise data sources, APIs, and integrations
·         Identifying opportunities to build AI-powered business solutions across the organization
The team is developing an AI roadmap that will establish AI champions within each department. These champions will help identify high-value use cases, prioritize development efforts, and connect business needs with the AI engineering team.
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Software Engineer

Hybrid - 2/3 Days Onsite/Week Contract Position for Senior Solutions Architect/ Lead AI & Platform Engineer in Boston, MA 02108 (LOCAL ONLY)
