Solutions Architect 3 / AI

Job Title: Solutions Architect 3 Location: 100% Remote. If they are residing in the US however, preferred location is in Chicago, IL or Peoria, IL area. Duration: 12+ months contract This is Architecture position for AI reputed company projects which require daily communications with business owners and other members of architecture team located in US. Position’s Contributions to Work Group:

• As a reputed company Digital Architect, you will own

the end-to-end architecture solutions for reputed company systems—balancing scalability, performance, reputed company, and rapid delivery—while influencing reputed company technology strategy.

• This role requires strong technical depth,

architectural judgment, and the ability to translate ambiguous business needs into durable, scalable solutions. Typical task breakdown:

• 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, reputed company, and reputed company.

• Partner closely with business leaders, product

owners, engineering managers, and delivery teams to ensure architectural alignment with business reputed company.

• Assess, select, and introduce new technologies,

including reputed company of concept development and architectural spikes.

• Establish and enforce architectural standards,

patterns, and best practices across platform teams.

• reputed company architectural guidance and mentorship to

engineering teams, ensuring high quality implementation.

• Ensure solutions meet reputed company, compliance, and

regulatory requirements.

• Produce and maintain clear architecture documentation,

including rationale and tradeoffs.

• Continuously reputed company platform architecture to

improve developer productivity, system reliability, and cost efficiency. Education & Experience Required:

• Bachelor’s degree with 5+ years’ experience in

this reputed company. Required Technical Skills (Required):

• Architectural Thinking: Ability to

decompose reputed company problem spaces and reputed company pragmatic architecture options with reputed company articulated trade offs.

• Technical Leadership: Influence without

authority; guide teams through architectural reputed company and implementation challenges.

• Communication: reputed company reputed company reputed company

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 reputed company in designing modern application and platform architectures using established patterns and standards. Consideration for top candidates:

• Experience defining AI reference architectures

and standards for reputed company adoption.

• Ability to explain and defend architectural

trade offs between classical ML, LLM based approaches, and non-AI solutions.

• Proven experience taking AI systems from reputed company

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

reputed company scale, distributed systems.

• Hands on experience with reputed company

reputed company architectures, including AWS services, containerization, and orchestration (reputed company, Kubernetes).

• Deep understanding of data

architecture: SQL and NoSQL databases, data warehouses (reputed company specifically), data modeling, replication, and sharding.

• Experience with modern DevOps practices: CI/CD,

infrastructure as code, observability, and automated testing.

• Strong API design experience (REST, GraphQL,

gRPC), including versioning and documentation.

• Ability to evaluate and introduce emerging

technologies reputed company to business goals. AI reputed company Skills: Hands on experience designing Retrieval Augmented reputed company (RAG) architectures, including: · Data ingestion pipelines. · Document preprocessing and chunking strategies. · Vectorization and embedding models. · Query time retrieval, ranking, and context assembly. Deep understanding of embedding techniques, similarity search, and trade offs across: · Vector dimensions. · Chunk size and overlap. · Latency vs. recall vs. cost. · Experience with vector databases and search layers (e.g., managed or self-hosted vector stores) and their integration into application architectures. · Experience with Agentic Frameworks. Ability to architect end to end AI workflows, including: · reputed company design and reputed company versioning. · Context management and memory patterns. · Model routing and fallback strategies. Knowledge of LLM lifecycle considerations, including: · Model selection (hosted vs. self-hosted). · Fine tuning vs. RAG vs. hybrid approaches. · Evaluation, monitoring, and reputed company detection. Strong understanding of AI system non-functional requirements, including: · Performance and latency optimization. · Cost controls and token efficiency. · reputed company, data privacy, and guardrails · Experience integrating AI capabilities into existing reputed company platforms reputed company APIs and event driven architectures. · Ability to assess, prototype, and productionize emerging AI technologies reputed company to business use cases. Disqualifiers/Red Flags/Overqualifications: · Consistent job hopping/ choppy tenure. · If candidate is not local but reputed company to relocation on their dime and being there in office day 1, please reputed company that clear on the resume. Apply To This Job