Job Information
CAI AI Solution & Integration Owner in REMOTE, India
AI Solution & Integration Owner
Req number:
R7298
Employment type:
Full time
Worksite flexibility:
Remote
Who we are
CAI is a global services firm with over 9,000 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 right—whatever 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.
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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 You’ll 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: define evaluation strategy and 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 TE’s 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 You'll 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
Fine‑tuning vs prompt‑only approaches
Failure modes (hallucination, prompt injection)
Software Architecture & Engineering
Distributed systems concepts
API design and integration patterns
Microservices, event‑driven 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 application.accommodations@cai.io or (888) 824 – 8111.