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Solutions Architect

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🔥 12 hours ago

🌽 Illinois – Remote

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⏳ Contract/Temporary

🟡 Mid-level

đźź  Senior

đź’» Solutions Engineer

đź‘» Ghost score 25%

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Logo of 3Core Systems, Inc

3Core Systems, Inc

51 - 200 employees

Founded 2004

🤝 B2B

đź’Ľ Consulting

👥 HR Tech

B2B • Consulting • HR Tech

3Core Systems, Inc. is an SAP Silver Partner specializing in the delivery of integrated Digital HR solutions. The company focuses on optimizing SAP SuccessFactors for HR organizations, helping them solve immediate pain points while transforming their business objectives to achieve key performance indicators (KPIs). 3Core Systems provides a range of services including implementation, project management, consulting, and application management support, tailored to improve the efficiency of HR processes and enhance overall performance.

đź“‹ Description

• Own end-to-end architecture solutions for complex systems, balancing scalability, performance, security, and rapid delivery • Influence enterprise technology strategy • Define solution and platform architectures for large-scale distributed systems from concept through production • Create architectures meeting standards for scalability, performance, resilience, and security • Partner with business leaders, product owners, engineering managers, and delivery teams to align architecture with business outcomes • Assess, select, and introduce technologies through 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 • Ensure solutions meet security, compliance, and regulatory requirements • Produce and maintain architecture documentation, including rationale and tradeoffs • Evolve platform architecture to improve developer productivity, system reliability, and cost efficiency • Architect AI-related projects and communicate daily with US-based business owners and architecture team members

🎯 Requirements

• Candidates residing in the US; preferred location is Chicago or Peoria, IL area • Candidates should ideally be local; non-local candidates should be open to relocation/travel as required • Strong preference for experience in the telematics or automotive industry • At least 5–6 years of AI Architecture experience • Hands-on experience designing and owning AI solutions at an architect level • Strong experience with RAG and Generative AI • Bachelor's degree with 5+ years' experience in this capacity • Ability to decompose complex problem spaces and develop pragmatic architecture options with clearly articulated tradeoffs • Ability to influence without authority and guide teams through architectural decisions and implementation challenges • Ability to articulate complex technical concepts to technical and non-technical stakeholders • Ability to translate business and non-functional requirements into scalable technical designs • Strong foundation in 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 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 • Experience designing and building enterprise-scale distributed systems • Hands-on experience with cloud-native architectures, AWS services, Docker, and Kubernetes • Deep understanding of SQL and NoSQL databases, Snowflake, data modeling, replication, and sharding • Experience with CI/CD, infrastructure as code, observability, and automated testing • Strong API design experience with REST, GraphQL, and gRPC, including versioning and documentation • Ability to evaluate and introduce emerging technologies aligned to business goals • Hands-on experience designing RAG architectures, including data ingestion, document preprocessing, chunking, vectorization, embeddings, retrieval, ranking, and context assembly • Understanding of embedding techniques, similarity search, vector dimensions, chunk size and overlap, and latency/recall/cost tradeoffs • Experience with vector databases and search layers • Experience with agentic frameworks • Ability to architect end-to-end AI workflows, including prompt design/versioning, context management, memory patterns, model routing, and fallback strategies • Knowledge of LLM lifecycle considerations, including model selection, fine-tuning vs. RAG vs. hybrid approaches, evaluation, monitoring, and drift detection • Understanding of AI system non-functional requirements, including performance, latency, cost controls, token efficiency, security, data privacy, and guardrails • Experience integrating AI capabilities into enterprise platforms through APIs and event-driven architectures • Ability to assess, prototype, and productionize emerging AI technologies

🏖️ Benefits

• 100% remote work for candidates residing in the US • 12-month contract

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