AI consulting
AI strategy & architecture
Choose the right AI opportunities, define the roadmap and design the production architecture around data, tools, identity, evaluation, safety and measurable outcomes.
Build the team.
Architect the AI.
Ship the system.
I help founders and technology leaders build capable development teams and turn AI strategy into secure, production-ready architecture.
20+ years leading software, infrastructure and cloud delivery
- Dev team building
- AI architecture
- Azure & AWS
- Delivery leadership
- Production operations
Three ways I help
Engineering leadership
Development team building
Shape the team around the product: roles, hiring profiles, ownership, delivery cadence, technical standards, mentoring and a practical operating model.
Hands-on delivery
From architecture to production
Turn decisions into working systems across application code, cloud infrastructure, integrations, security, observability and operational readiness.
Build lasting capability
More than an AI prototype
The goal is a capable engineering team and an AI platform it can own, operate and improve after the engagement.
AI strategy and opportunity design
Identify where AI creates real leverage, select use cases, define success measures, assess data and integration readiness, and turn the result into an executable roadmap.
Production AI architecture
Design agentic AI, retrieval and tool-use systems with identity, approvals, evaluation, auditability, cost controls, observability and deterministic fallback behavior.
Development team design and leadership
Define roles and ownership, create hiring profiles and interview loops, establish delivery cadence and quality standards, and coach the team through real execution.
Delivery and operational readiness
Carry the architecture into implementation across cloud, software, integrations, security, CI/CD, observability, cost and incident readiness.
How I engage
Leadership that leaves a stronger team behind
AI strategy sprint
A focused assessment of opportunities, constraints, data, platforms and risk—ending with priorities, architecture decisions and a delivery roadmap.
Build or strengthen the dev team
Team topology, role definitions, hiring scorecards, technical interviews, onboarding, engineering standards, delivery rhythm and hands-on mentoring.
Fractional CTO & AI architect
Ongoing leadership alongside founders and engineering: technical direction, people and delivery decisions, architecture ownership and hands-on escalation support.
About
I build teams and systems for the next stage of growth.
I'm Shahar Damary, a technology leader and AI architect with more than 20 years across software development, infrastructure, cloud and production operations.
I work with founders and technology leaders when they need to create an engineering function, strengthen an existing team or turn an AI opportunity into a system the business can safely operate and scale.
I operate at two levels: management—team structure, ownership, hiring, prioritization, delivery cadence and mentoring—and architecture—AI patterns, cloud boundaries, integrations, security, observability and recovery.
- Leadership
- Founders, CTOs and engineering teams
- Architecture
- AI, Azure, AWS and integrations
- Languages
- English and Hebrew
Common questions
A clear starting point
Can you help build a development team from scratch?
Yes. I can help define the team structure, roles, hiring profiles, interview process, ownership model, technical standards and delivery cadence, then support onboarding and leadership as the team grows.
What does an AI consulting engagement include?
It can cover opportunity assessment, use-case selection, success metrics, data and integration readiness, model and platform choices, risk controls, architecture and a phased delivery roadmap.
What makes production AI architecture different from a prototype?
A prototype proves that a model can produce useful output. Production architecture adds identity, permissions, governed tools, retrieval quality, evaluation, audit trails, cost controls, observability, fallback behavior and a team that owns the system.
Do you stay hands-on with the team?
Yes. I combine leadership with direct technical work: architecture, implementation, code and design reviews, cloud infrastructure, integrations, security, observability and production escalation when needed.
How do we start?
Send the business goal, current team shape and the AI or delivery problem you need to solve. I will respond directly with the first decisions to make and what a focused engagement could look like.
Build the capability
What should your team and AI platform become?
Share the business goal, current team and delivery constraint. I’ll respond with a direct view of the next decisions and where I can help.