AI Architect – Technical Lead

atRR DonnelleyRemoteUS flagIllinoisFull-timeBackend EngineerSenior$129.5k – $207.2k/year

Posted 4 days ago

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Establish the architectural framework for each client project, covering skill decomposition, tool orchestration, data flow, integration strategy, and deployment model.

• Ensure that the architecture adheres to security best practices and meets client specifications.

• Create client-specific guidelines and constraints.

• Assess and approve AI Workflow Engineer builds in accordance with the established architectural framework.

• Manage integration architecture with client systems, which includes authentication, data ingress, downstream deployment, and monitoring.

• Collaborate with the Head of Platform Engineering and Product to make decisions regarding platform versus custom solutions.

• Design and document the intended technical state, transition strategy, and operational readiness criteria for project handover.

• Maintain the technical risk register for engagements and escalate risks to the Delivery Principal.

• Act as the Technical Lead across various client projects.

• Work alongside the Delivery Principal to determine scope, timeline, and technical feasibility.

• Present technical architecture to high-level client stakeholders, including CTOs, technical partners, information security personnel, and enterprise architects.

• Define integrations and collaborate with the platform development team on connectivity and upstream system integration.

• Guide AI Workflow Engineers in architectural decisions, prompt strategy, and evaluation design.

• Provide technical insights during commercial discussions and identify risks related to scope creep and platform limitations.

• Develop and mentor AI Workflow Engineers and Integration Engineers.

• Offer structured technical feedback to functional managers on capability development.

• Contribute architectural frameworks and technical playbooks to the Technical Lead community.

• Refine standards based on practical engagement experiences.

• Mentor junior Technical Leads and aid in the development of cohort capabilities.

• Ensure compliance with client requirements, data protection regulations, security standards, and AiVA architectural guidelines.


⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent experience.

• Over 8 years of experience in software engineering, cloud architecture, or enterprise integration.

• Proven history of leading complex technical architecture for client-facing delivery projects.

• Comfortable presenting to senior technical audiences.

• Experience with AI or automation platforms at an enterprise level.

• Familiarity with agent frameworks, LLM APIs, and orchestration strategies.

• Cloud certification (preferably Azure, with AWS or GCP experience being relevant) or equivalent demonstrated cloud architecture expertise.

• Strong background in integration engineering, including authentication, data pipelines, deployment infrastructure, and monitoring.

• Ability to work across different geographies and time zones, including clients from the US, UK, and EMEA.

• Experience in legal, professional services, or knowledge-worker environments is preferred but not required.

• Senior technical presence in client interactions with Chief Technology Officers, enterprise architects, and technical partners.

• Capability to direct technical work and discern when to intervene versus delegate tasks.

• Ability to manage multiple engagements and prioritize competing demands.

• Strong interest in AI-enabled automation architecture and the latest AI engineering practices.

• Resilience in high-pressure technical scenarios with clients.

• Commitment to continuous learning and adaptation as the AiVA platform progresses.

• A quality-first approach to architectural clarity, evaluation, and observability.

• Successful completion of a pre-employment background check and drug screening.

• Candidates are advised against using AI tools during interviews.


🏝️ Benefits

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Disability insurance.

• 401(k) with company matching.

• Life insurance.

• Optional supplemental insurance coverages.

• Parental leave.

• Adoption assistance.

• Tuition assistance.

• Discounts through employer/partner programs.

• Participation in bonus, commission, or incentive programs may be available based on the specific role.

• Opportunities for remote work.

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