AI Solutions Architect

Aegistech; New Jersey; Hybrid; USD 140,000 - 180,000; Full time

Job summary

Aegistech in Northern New Jersey is seeking a hands-on AI Solutions Architecture consultant for a hybrid onsite role. You will lead architecture across ES platforms, partner with service owners, and guide AI-enabled capabilities from design to production readiness.

Ideal candidates have 7+ years in solutions architecture with strong experience in AI workflows, cloud integration, security, and enterprise patterns. Local candidates only; 3 days in-office per week.

Qualifications

• Bachelor's degree in computer science, information technology, engineering, or equivalent professional experience.
• 7+ years in software, platform, integration, or solutions architecture roles with hands-on production engineering and leadership.

Responsibilities

• Lead hands-on solution architecture for ES platforms and managed services.
• Partner with service owners and BU stakeholders to identify AI value and guide design, engineering, and operations.
• Define use cases, assess feasibility, value, cost, risk, and reuse before experiments.
• Architect AI-enabled capabilities within ES cloud, identity, API/MCP, integration, connectivity, observability.
• Lead evaluations and prototypes; guide delivery through production readiness with acceptance criteria.
• Design for secure, supportable operations with telemetry, access controls, runbooks, and incident response.
• Present options to leadership; explain service value, reliability, privacy, and oversight trade-offs.
• Lead architecture reviews; mentor engineers; coordinate with Security and CIO Analytics teams.
• Translate architecture into demonstrable outcomes and communicate risks clearly.

Skills

Hands-on architecture

AI/ML integration

REST APIs

Security & reliability

Python/TypeScript

Architecture leadership

Education

Bachelor's degree in CS/IT/Engineering

Tools

AWS AI services

Kong Konnect AI/MCP

Splunk/CloudWatch

CI/CD

Job description

Our client in Northern NJ is seeking a hands-on AI Solutions Architecture consultant. This position is hybrid, onsite in Northern NJ, 3 days a week in the office.

Local Candidates only/NO Relocation

This role is not eligible for employer-sponsored work authorization (e.g., H-1B, OPT, CPT, etc.) or transfer. Candidates must have valid U.S. work authorization. Candidate must work as our W-2 employee; no subcontractors.

Purpose of the Role:

Lead hands-on solution architecture for Engineering Services (ES) platforms and managed business services. Partner with service owners and customers to identify where AI or simpler automation adds value, then guide design, engineering, and reliable operation of those capabilities.

Specific Responsibilities

Business Needs and Value

• Partner with ES service owners, Technical Operations, and BU stakeholders to understand service requirements, operational friction, and customer outcomes; assess where AI is appropriate.
• Define use cases and success criteria; assess feasibility, value, cost, risk, and reuse before recommending experiments or enhancements to existing and new ES services.

Service Architecture and Engineering

• Architect AI-enabled capabilities within ES cloud, identity, API/MCP, integration, connectivity, and observability services; apply secure, reusable enterprise patterns.
• Lead hands-on evaluations and prototypes; guide solution development and integration through production readiness, with clear engineering acceptance criteria.

Managed Service Lifecycle and Quality

• Design for secure, supportable operations with service engineering and Technical Operations: evaluation, telemetry, access controls, runbooks, incident response, and rollback.
• Present evidence-based options to ES and BU leaders, explaining service value, reliability, AI quality, cost, privacy, and human oversight trade-offs.

Technical Leadership and Partnerships

• Lead cross-functional architecture reviews and mentor engineers; coordinate solution delivery with BU technical teams, Security, and CIO Analytics on dependent applications and integrations.
• Translate architecture into demonstrable outcomes, communicate delivery risks, and maintain clear service and platform accountability.

Requirements

Education and Experience

• Bachelor's degree in computer science, information technology, engineering, or equivalent professional experience.
• 7+ years in software, platform, integration, or solutions architecture roles, with hands-on production engineering, technical leadership, and service provider or customer-facing experience.

Technical Expertise

• Applied AI solution design: LLM workflows, retrieval when appropriate, tool/agent integration, quality evaluation, model selection tradeoffs, and non-AI alternatives.
• Enterprise service integration: Cloud architecture, REST APIs, MCP, identity and authorization, operations tooling, and reusable platform and service patterns.
• Security and service reliability: Data protection, threat modeling, auditability, observability, resiliency, human oversight, and production readiness.
• Engineering and advisory: Python or TypeScript prototypes, architecture decision records, delivery tradeoffs, collaboration with service owners, and cross-team facilitation.

Preferred Experience

• AWS AI services, Claude, Kong Konnect AI/MCP integration, Splunk or CloudWatch, CI/CD, and engineering managed services in a regulated enterprise.