AI Solution & Integration Owner
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Job Location:
Monthly Salary:
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Req number:
R7298Employment type:
Full timeWorksite flexibility:
RemoteWho we are
CAI is a global services firm with over 9000 associates worldwide and a yearly revenue of $1.3 billion. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities. As a privately held company we have the freedom and focus to do what is rightwhatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are seeking a highly skilled AI solution architect to join our dynamic team. As an AI Solution Architect you will play a crucial role in Design and deliver the end-to-end AI solution architecture including model behavior evaluation integration deployment reliability and cost - so the solution (or agent) is correct safe scalable and operationally sustainable. This position will be full-time and Hybrid..
Job Description
We are seeking an AI Solution Architect who can Design and deliver the end-to-end AI solution architecture. This position will be Full-time and Hybrid position.
What Youll Do
End-to-End Solution Architecture
Select solution patterns: classical ML vs LLM vs hybrid retrieval-augmented generation (RAG) orchestration AI agents (if appropriate).
Define system architecture: APIs services event flows data interfaces identity and access.
Define non-functional requirements: latency availability scalability resilience.
Model Behavior Quality & Evaluation (explicit ownership)
Own model/prompt behavior and quality: defineevaluation strategyand acceptance thresholds.
Implement evaluation: offline tests golden datasets regression testing for prompts/models.
Own error analysis and failure mode mitigation (hallucinations bias data leakage prompt injection risks).
Define safe completion behavior for GenAI: guardrails filters and escalation paths.
Integration & Deployment Ownership
Build/oversee integration into TEs applications and business workflows.
Own the deployment approach (CI/CD environment configuration secrets feature flags).
Ensure observability: logging metrics tracing model/prompt versioning.
Security Privacy Compliance-by-Design (technical)
Ensure proper data handling encryption access controls and least privilege.
Ensure compliance requirements translate into technical controls (e.g. retention PII handling).
Key Deliverables
Solution architecture (HLD/LLD) interface contracts integration plan
Model/prompt strategy and evaluation plan (metrics thresholds test suites)
MVP/pilot reference implementation production deployment design
Monitoring dashboards: latency cost errors quality signals
Runbooks: incident response rollback plan version management
Security & privacy technical design notes (controls data paths)
Decision Rights (owns the call)
Technical architecture and build-vs-buy decisions (within agreed governance and project-lead)
Model/prompt selection and evaluation gates for release readiness
Integration approach and production readiness from a technical standpoint
Key Interfaces
Collaborate with application owners / platform teams (cloud DevOps endpoint teams)
Security engineering IAM network teams
Data role training data quality lineage and governance
Business SMEs for evaluation scenarios and acceptance tests
What Youll Need
Required
Bachelor degree: Computer Science Software Engineering Data Science Artificial Intelligence / Machine Learning Applied Mathematics or Engineering (with strong CS content)
QUALIFICATIONS & EXPERIENCE
Artificial Intelligence & Machine Learning
Model evaluation techniques (precision/recall ROC grounding metrics)
Overfitting generalization bias and robustness
Understands LLM concepts:
Prompt engineering
Finetuning vs promptonly approaches
Failure modes (hallucination prompt injection)
Software Architecture & Engineering
Distributed systems concepts
API design and integration patterns
Microservices eventdriven architectures
Observability (logging metrics tracing
3 years of overall experience
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to or (888).
Key Skills
About Company
CAI helps organizations leverage technology, people, and processes to solve business problems, enable savings, and spur innovation.
