REMOTE AI Technical Architect

Job Description

We are looking for a Technical Architect who operates at the seam between client-facing delivery and internal IP development. You will partner directly with enterprise clients to define AI and data architecture — and then translate the hard-won patterns, decisions, and frameworks from those engagements into reusable assets that IG Labs owns and re-deploys.

This is not a pure consulting role and it is not a pure product role. It is the connector between them. You will be embedded in active engagements, you will shape architecture under real constraints, and you will be accountable for ensuring that what we build for one client becomes leverage for the next.

Key Responsibilities

Client Architecture Definition

Partner with client stakeholders — CTO, VP Engineering, Chief Data Officers — to define AI and data platform architecture aligned to their strategic objectives

Lead architecture discovery sessions: current-state assessment, gap analysis, future-state design, and roadmap sequencing

Produce and own architectural artifacts: reference architectures, decision records (ADRs), data flow diagrams, integration blueprints, and governance frameworks

Define and enforce non-functional requirements across security, scalability, observability, and regulatory compliance

Serve as the technical authority on engagements — bridging business intent and engineering execution

IG Labs Collaboration & IP Derivation

Work hand-in-hand with the IG Labs team to identify reuse opportunities within active client engagements

Abstract generalizable patterns from bespoke client solutions — reference architectures, design templates, evaluation frameworks, and deployment playbooks — and contribute them to the IP library

Participate in IP review cycles: peer review of contributed assets, validation of generalizability, and documentation of applicability conditions

Actively drive toward Reuse Index targets — the primary delivery health metric tracking what proportion of each engagement is powered by pre-built IP

Identify net-new IP opportunities from emerging client problems and partner with Labs to prototype and productize

Program Delivery

Provide architectural oversight and technical governance across multiple concurrent client engagements

Partner with delivery leads and project managers to ensure architectural decisions are reflected in project plans, sprint goals, and acceptance criteria

Support pre-sales and solution design: contribute to SOWs, RFP responses, and technical proposals with defensible architectural thinking

Mentor delivery engineers and junior architects; elevate technical craft across the team

Flag architectural drift, scope risk, and technical debt in active engagements before they become delivery blockers

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

-8+ years in technical architecture, solutions architecture, or principal engineering roles

-Hands-on experience designing AI/ML, data platform, or cloud-native systems in production

-Deep fluency in at least two major cloud platforms (AWS, Azure, GCP)

-Experience working directly with senior client stakeholders to define architecture

-Strong written and visual communication: architecture diagrams, decision records, executive summaries

-Demonstrated ability to abstract reusable patterns from specific implementations

-Comfortable operating with ambiguity in professional services or consulting environments -Experience with agentic AI systems, RAG architectures, LLM orchestration (LangChain, LlamaIndex, or similar)

-Familiarity with MCP (Model Context Protocol) and its role in AI system integration

-Background in regulated industries: financial services, healthcare, or insurance

-Exposure to MLOps platform design, model governance, and AI lifecycle management

-Prior experience in a professional services, systems integrator, or technology consulting firm

-Track record of contributing to an IP library, accelerator repository, or internal knowledge base

-Executive Certificate, Master’s, or equivalent advanced credentials