Technical Architect

Insight Global; United States; À distance; USD 190 000 - 230 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

HSA account

FSA account

DCFSA account

401k with employer match

Paid time off

Résumé du poste

Insight Global is seeking a Technical Architect to bridge client delivery and internal IP development. You will shape AI and data architecture for enterprise clients and translate engagements into reusable assets for IG Labs.

You will be embedded in active engagements, define architecture under real constraints, and ensure patterns scale across next projects. Collaborative, client-facing, and technically hands-on capabilities are essential.

Qualifications

• 8+ years in architecture roles or equivalent leadership positions.
• Experience across cloud platforms, networking, containers, and distributed systems.
• Deep knowledge of AI/ML concepts, including embeddings and transformers.

Responsabilités

• Define AI and data platform architecture with client stakeholders.
• Produce architectural artifacts: ADRs, diagrams, and governance frames.
• Lead discovery sessions: current-state, gaps, and future-state design.
• Ensure security, scalability, observability, and regulatory compliance.
• Mentor engineers and contribute to reusable IP assets.
• Drive reuse and IP contributions across engagements.
• Support pre-sales with defensible architectural thinking.

Connaissances

Technical architecture

Solutions architecture

Principal engineering

AI/ML concepts

RAG architectures

LLM orchestration

MCP Model Context Protocol

MLOps design

Retrieval design

Regulated industries experience

Client stakeholder management

IP library contributions

Architecture diagrams

Ambiguity tolerance

Consulting mindset

Outils

LangChain

LlamaIndex

Kubernetes

AWS

Azure

GCP

Description du poste

Location: Remote + 40% Travel to Client Site

Requirements

• 8+ years in technical architecture, solutions architecture, or principal engineering roles
• System design breadth and depth: cloud-native architecture across at least two major platforms (AWS, Azure, GCP), networking, containerization and Kubernetes, distributed systems, plus strong databases and data modeling
• Traditional AI/ML understanding: how transformers, CNNs, and RNNs work, and a deep working grasp of embedding spaces
• Hands-on experience designing and shipping production-grade agentic AI systems, not just prototypes
• Deep experience with RAG architectures, LLM orchestration (LangChain, LlamaIndex, or similar), and agent evaluation/observability
• Familiarity with MCP (Model Context Protocol) and its role in AI system integration
• MLOps platform design, model governance, and AI lifecycle management
• Experience with embedding/vector stores and retrieval design at enterprise scale
• Background in regulated industries: financial services, healthcare, or insurance
• Prior experience in a professional services, systems integrator, or technology consulting firm
• Experience working directly with senior client stakeholders to define architecture
• Track record of contributing to an IP library, accelerator repository, or internal knowledge base
• 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

The Role

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 making sure what we build for one client becomes leverage for the next.

Key Responsibilities

• 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
• Work hand-in-hand with the team to identify reuse opportunities within active client engagements
• Abstract generalizable patterns from bespoke client solutions (reference architectures, design templates, evaluation frameworks, 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 team to prototype and productize
• 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, elevating technical craft across the team
• Flag architectural drift, scope risk, and technical debt in active engagements before they become delivery blockers

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.