AI Solution Architect ::

Job Title: AI Solution Architect
Location: Atlanta, GA
Job Type: Fulltime
Job Description

Must Have Technical/Functional Skills
• Lead end to end enterprise GenAI/ML architecture from discovery → PoC → pilot → production, ensuring scalability, security, reliability, and measurable business value.
• Partner with business, product, risk, and ops leaders to identify/prioritize AI use cases in payments, define success metrics, and build value/feasibility assessments.
• Design solution blueprints and produce HLD/LLD + Lucid architecture diagrams, covering integrations, NFRs, data flows, and deployment/run operations.
• Experience with On Prem as well as Cloud-native GenAI solutions (Google will be a Plus) using Vertex AI + Gemini, integrating with BigQuery/Cloud Storage and scalable runtime options (Cloud Run/GKE).
• Establish Prompt Engineering standards: system/tool prompts, few shot patterns, structured outputs (JSON schemas), guardrails, prompt versioning, and automated regression testing.
• Experience with Agentic AI frameworks like LangChain, LangGraph and LangSmith.
• rchitect advanced RAG systems: ingestion pipelines, chunking/metadata strategy, hybrid retrieval + reranking, citation/grounding, and continuous quality evaluation.
• Design vector data models and retrieval optimization (embeddings, indexing, freshness, governance) to support high accuracy, low latency enterprise knowledge experiences.
• Lead AI Agent design: tool/function calling, planning/execution loops, memory strategies, and human in the loop approvals for controlled automation.
• Build Agentic Workflow orchestration (multi step business processes) with clear role boundaries, fail safes, escalation paths, and auditability.
• Enable A2A (Agent to Agent) collaboration patterns-specialized agents (retrieval, policy, fraud signals, customer comms) coordinated vi central orchestrator.
• Define and govern MCP (Model Context Protocol) integrations to standardize tool connectivity, context injection, authorization, and safe tool execution across enterprise services.
• Drive MLOps/LLMOps practices: CI/CD, prompt/model versioning, automated evaluations, drift/quality monitoring, cost controls, canary releases, and rollback strategies.
• Embed payments grade security, privacy, and compliance: IAM least privilege, encryption/KMS, secrets management, PII controls, threat modeling, and audit evidence.
• Collaborate with internal teams and technology partners to ensure smooth implementation, performance tuning, and production readiness across environments.
• Mentor teams and evangelize an AI engineering culture through reusable reference architectures, best practices, knowledge sharing, and technical governance.
• Roles & Responsibilities
An ask from an AI architect should drive the strategy, good in communication, client management and drive the
business strategy


Qualifications : BACHELOR OF COMPUTER SCIENCE

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.