Principal Solution Architect
ShiftCode Analytics
Principal Solutions Architect
Interview: Video Visa: USC, GC, GC EAD, H4, L2 This is hybrid from day-1 (Local candidates highly preferred)
About the job:
As Principal Solutions Architect in Atlanta, you will lead technology transformation and AI initiatives across core vehicle processes, modernizing titles, releases, service payments, sales, approvals, documentation, and reporting.
Responsibilities:
- Collaborate with product and engineering teams to design solutions that address business needs
- Facilitate collaborative design discussions and lead design reviews
- Partner with product teams to envision future features and help plan development sequences
- Serve as a technical subject matter expert for the engineering team
- Assist in developing architecture standards
- Support the improvement of architectural practices
- Help govern software development to ensure non-functional requirements are met
- Champion investments in technology and architecture, advocating for project priorities
- Identify opportunities for application optimization and simplification
- Lead the architectural design and integration of AI capabilities into enterprise systems, ensuring alignment with business goals and technical feasibility
- Collaborate with product and engineering teams to identify high-impact AI use cases and develop scalable solutions
- Assist in planning the IT Husbandry Roadmap for the year
- Evaluate emerging AI technologies for workload applicability and assess off-the-shelf solutions to address current engineering and product challenges
- Work closely with Security, Data Governance, and AI Governance teams to ensure AI implementations meet ethical, regulatory, and operational standards
- Bring reusable patterns, frameworks, and lessons learned from other teams to accelerate AI adoption and reduce duplication
- Serve as a bridge between business stakeholders and technical teams to ensure solutions are both innovative and practical
- Lead proofs-of-concept and reference implementations to validate approaches
- Define standards for API discoverability, extensibility, and versioning to support evolving AI capabilities
- Ensure APIs are designed with security, scalability, and interoperability in mind
- Provide architectural guidance and mentorship to engineering teams on AI technologies and patterns
- Contribute to internal documentation, training, and enablement resources to build organizational AI fluency
Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related discipline plus 10+ years of experience in software development for mid-sized to large companies.
- Engages with emerging AI technologies daily (e.g., LLMs, autonomous agents, vector databases).
- Has designed and deployed complex cloud architecture applications via AWS (preferred), GCP, or Azure.
- Has applied enterprise architecture patterns to design and deploy distributed systems (e.g., Restful APIs, Event-Driven Microservices, Micro Frontends, BFFs, Serverless architectures).
- Over 5 years of hands-on experience as a solution or technical architect, advocating for technical solutions and influencing others.
- Experience with React front-end development, J2EE back-ends, and Node.js/TypeScript applications.
- Familiarity with Snowflake and Jaspersoft is preferred.
- Experience with on-premise applications and Tibco SOA is a plus.
- Experience with replatforming applications from legacy languages (e.g., Ruby on Rails to Java/TypeScript/Python).
- Experience with Credit Card Payment Gateways.
- Familiarity with ActiveMQ is preferred.
- Experience with RPG AS400 iSeries is a plus.
- Strong ability to produce high-quality blog posts and technical documentation.
- Able to serve as a technology mentor and facilitate colleagues' growth.
- Skilled at managing conflicts and maintaining productive relationships.
- Industry experience in automotive or willingness to become an industry expert.
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