Fractional CTO

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Silpa Companies, LLC is a national IT consulting and staffing firm empowering organizations across multiple industries through a blend of AI adoption, Master Data Management, Data and Analytics, Cybersecurity, Cloud Engineering, Dev Sec Ops /Git Ops, Fractional C-Suite leadership, Digital Transformation, and M&A advisory for private equity and software ventures.

Silpa Companies is seeking a hands-on, versatile CTO for contract, project-based engagements serving clients across our technology and data portfolio. This is not a title-holding role. You will be expected to lead technology strategy at the executive level while remaining an active contributor in architecture decisions, code reviews, cloud infrastructure design, and platform delivery. You will be deployed to client organizations that need a senior technology leader who can build and execute a roadmap, align engineering and data teams around a shared technical vision, and personally contribute where the work demands it.

You are equally comfortable in a boardroom presenting a multi-year technology strategy and in a working session debugging a cloud deployment or reviewing a data pipeline architecture. This role is built for a proven technology executive who leads by doing.

• Define and own client technology strategy, architecture roadmap, and platform evolution plans aligned to business objectives.
• Present technology vision, investment priorities, and delivery progress to C-suite and board-level stakeholders.
• Evaluate and advise on build vs. buy decisions, vendor selection, and technology stack modernization.
• Lead technical due diligence for M&A, private equity, and software venture engagements as needed.
• Align cross-functional engineering, data, security, and product teams around shared delivery goals.
• Personally design and review cloud-native architectures across Azure, AWS, and GCP environments.
• Contribute directly to solution design, system architecture diagrams, proof-of-concept builds, and platform evaluations.
• Review and guide code quality, engineering standards, CI/CD pipelines, and deployment practices across client teams.
• Lead or contribute to API design, microservices architecture, data platform builds, and integration patterns.
• Evaluate Dev Sec Ops  maturity and drive improvements in automation, observability, and release velocity.
• Advise and contribute to data platform strategy including data lakehouse, warehousing, and analytics architecture decisions.
• Guide AI and ML integration strategies including responsible AI adoption and model operationalization.
• Oversee and contribute to Master Data Management, data governance, and data quality program design.
• Define and own client AI strategy including LLM adoption, generative AI integration, and intelligent application development roadmaps.
• Evaluate and advise on LLM platform selection across OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, and open-source models.
• Lead responsible AI governance practices including model risk management, bias evaluation, data privacy controls, and AI security frameworks.
• Architect LLM-powered application patterns including RAG pipelines, agent frameworks, fine-tuning workflows, and prompt engineering standards.
• Identify and mitigate AI-specific security risks including prompt injection, model inversion, data poisoning, and LLM supply chain vulnerabilities.

• 10 or more years of progressive technology experience including time in both hands-on engineering and technology leadership roles.
• Proven ability to design and personally contribute to cloud-native solutions across Azure, AWS, and GCP.
• Strong full-stack engineering background with proficiency across modern languages, frameworks, and data tools.
• Experience leading technology organizations or engineering teams in a consulting, fractional, or client-facing CTO capacity.
• Deep familiarity with Dev Sec Ops  practices, CI/CD tool chains, containerization (Docker, Kubernetes), and IaC (Terraform, Bicep, Pulumi).
• Hands-on experience building or…