Solutions Architect

Location: 100% Remote if they are residing in the US however, preferred location is in Chicago or Peoria, IL area.

Duration: 12 Month

Candidates should ideally be local
; if not local, they should be open to relocation/travel as required.

Strong preference for experience in the telematics or automotive industry
.

Must have at least 5–6 years of AI Architecture experience
, with hands‑on experience designing and owning AI solutions at an architect level.

Strong experience with RAG and Generative AI is required.

MLOps experience is a plus
, but the primary requirement is strong Generative AI experience
.

This is Architecture position for AI related projects which require daily communications with business owners and other members of architecture team located in US

• As a Principal Digital Architect, you will own the end-to-end architecture solutions for complex systems—balancing scalability, performance, security, and rapid delivery—while influencing Enterprise technology strategy.
• This role requires strong technical depth, architectural judgment, and the ability to translate ambiguous business needs into durable, scalable solutions.

• Own and define solution and platform architectures for large scale, distributed systems from concept through production.
• Create architecture that meets high standards for scalability, performance, resilience, and security.
• Partner closely with business leaders, product owners, engineering managers, and delivery teams to ensure architectural alignment with business outcomes.
• Assess, select, and introduce new technologies, including proof of concept development and architectural spikes.
• Establish and enforce architectural standards, patterns, and best practices across platform teams.
• Provide architectural guidance and mentorship to engineering teams, ensuring high-quality implementation.
• Ensure solutions meet security, compliance, and regulatory requirements.
• Produce and maintain clear architecture documentation, including rationale and tradeoffs.
• Continuously evolve platform architecture to improve developer productivity, system reliability, and cost efficiency.

Bachelor’s degree with 5+ years’ experience in this capacity

• Architectural Thinking:
  Ability to decompose complex problem spaces and develop pragmatic architecture options with clearly articulated trade offs.
• Technical Leadership:
  Influence without authority; guide teams through architectural decisions and implementation challenges.
• Communication:
  Clearly articulate complex technical concepts to both technical and non-technical stakeholders.
• Requirements Analysis:
  Translate business and non-functional requirements into scalable technical designs.
• Platform & Application Architecture:
  Strong foundation in designing modern application and platform architectures using established patterns and standards.

• Experience defining AI reference architectures and standards for enterprise adoption.
• Ability to explain and defend architectural tradeoffs between classical ML, LLM based approaches, and non-AI solutions.
• Proven experience taking AI systems from proof of concept to scaled production use.
• Strong programming background in Python and Java, with the ability to reason at code level.
• Proven experience designing and building enterprise scale, distributed systems.
• Hands on experience with cloud native architectures, including AWS services, containerization, and orchestration (Docker, Kubernetes).
• Deep understanding of data architecture: SQL and No
  
  SQL databases, data warehouses (Snowflake specifically), data modeling, replication, and sharding.
• Experience with modern Dev Ops…