AI Architect

Role Summary:

As AI Architect you are the design authority for Generative and Agentic AI solutions built on AI Next, from the first client workshop to production. You decide how a use case should be solved — model, retrieval, agent design, level of autonomy, guardrails — prove it with evaluations, and make sure it runs reliably, safely and at a known cost. The patterns you prove become AI Next reference architectures used by other teams.

Your success in a year looks like 2-3 GenAI or Agentic solution taken from design to production meeting the agreed outcome under the cost targets with cost per transaction and AI performance tracked.

Key Responsibilities:

• Solution Architecture & Design:
• Design end-to-end architecture with key decision and trade-offs for Generative AI and Agentic AI solutions on the AI Next platform, covering LLM selection, RAG pipelines, agent orchestration, tool integration, and guardrails.
• Architect agentic and multi-agent workflows using frameworks such as LangChain, LangGraph, and Google ADK.
• Design backend and integration layers using Python, exposing AI capabilities as secure and scalable services.
• Choose simplest design covering deterministic workflow, single agent or multiagent with focus on right autonomy level, security, MCP integrations, auditability and human review required for the client problem statement.
• Design enterprise retrieval with ingestion, chunking, hybrid search, reranking and permission-aware access to data sources with knowledge refresh strategies.
• Structured evaluation and recommendation of foundation models (for example Claude, Gemini, and OpenAI models) and deployment options for client problem statements.
• Design IDP (Intelligent Document Processing) solution architecture end to end, combining document ingestion, classification, OCR and layout-aware extraction, LLM-based extraction, validation, human-in-the-loop review, and downstream integration (good to have).

• Technical Leadership & Quality:
• Provide technical leadership and mentorship to Gen AI engineers, Python developers, and technology leads.
• Establish standards for prompt engineering, agent design, evaluation, and deployment of GenAI solutions.
• Conduct design and code reviews, and ensure reliability, security, scalability, and performance of AI solutions.
• Provide recommendations on optimizing cost per transaction adopting strategies like context management, routing, caching and batching.
• Troubleshoot and resolve technical issues in production AI systems.

• Evaluation, Governance & Responsible AI:
• Define tracing, observability, cost, and latency monitoring approaches for LLM and agent-based solutions.
• Define and set up evaluations to support solutions with success metrics agreed by client stakeholders, datasets, harness and gating for automated tests
• Define rollout, rollback and fallback strategies with owing technical incidents and escalations.
• Assess ethical implications, data privacy, and security risks of GenAI deployments, and design appropriate policies, controls, guardrails and human review where errors are costly.
• Design for auditability in the context of client’s regulatory context while collaborating with security and compliance teams.

• Client Advisory, & Pre-sales:
• Be the primary technical contact for client architects and business stakeholders, drive GenAI architecture workshops and explain trade-offs in business terms.
• Turn GenAI and agentic AI use cases into value cases with expected benefits, cost, risks, and define path to production.
• Support pre-sales activities by providing GenAI solution design, estimates, and assumptions.

• Technical Leadership and Platform Impact
• Lead and mentor GenAI engineers, developers and technology leads enabling evaluation, design and operations.
• Turn proven patterns into AI Next reference architectures, templates and components.
• Assess new models, frameworks and standards against clear criteria before recommending adoption.
• Partner with product architecture, data, engineering, and security teams feeding them with gaps, client demands and failures thereby influencing the product roadmap.

Locations -: Irving, Jersey City, Tampa

Request to drop resume and contact details (WhatsApp number) below mail id