Open AI Architect

HCLTech is looking for a highly talented and self- motivated [Open AI Architect] to join it in advancing the technological world through innovation and creativity.

Job Title: [Open AI Architect}

Job ID: BR)

Position Type: Full-time

Location: City, New Jersey / Santa Clara, CA

Role/Responsibilities

Title: Open AI Architect

Location Santa Clara (USA) and New Jersey, USA

Lead the architecture and productionisation of OpenAI‑first solutions in a forward‑deployed model. You will embed with customers to design secure, scalable patterns around ChatGPT Enterprise rollout and administration (SSO/SCIM/RBAC, data controls), OpenAI API endpoints (Assistants & tool/function calling, Responses/Chat Completions, Embeddings, Files/Batch, Moderations), fine‑tuning pipelines, and agentic RAG then drive PoC → Production with governance, observability, and cost control. Keep solutions portable with pragmatic use of cloud services, LangChain/LangGraph/Semantic Kernel, and standard vector stores.

What you'll do

OpenAI delivery

•ChatGPT Enterprise deployment & governance: Plan workspaces; implement SSO/SCIM, role models and policy guardrails; set up usage analytics; define custom GPTs governance (actions/connectors, approvals) and runbooks.

•OpenAI API architecture: Design patterns for Assistants with multi‑tool orchestration, structured outputs (JSON schemas), function/tool calling, Files/Batch for bulk jobs, Moderations, and Embeddings for retrieval.

•RAG & evaluation: Stand up OpenAI‑centric RAG (chunking, embeddings, indexing), implement groundedness checks, prompt test suites, red‑teaming, and cost/perf SLOs.

•Fine‑tuning lifecycle: Own dataset curation, training/eval, bias checks, rollback/versioning, and telemetry for tuned models.

•Operability: Add observability (OpenAI Observability/OpenTelemetry), token/cost telemetry, retries/backoff, idempotency, and feature flags/canaries; document runbooks and SOPs.

Cross‑platform & enterprise integration

• Azure, and/or AWS or GCP& identity/networking: Design with Managed Identity, Secret Management, and optional Private Link/private endpoints; harden per enterprise controls.

•Frameworks & vector stores: Apply OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel where useful; integrate Azure Cognitive Search, Redis/pgvector, or managed vector services.

• Copilot/Graph & app embeds: Where valuable, integrate via Copilot Studio and Microsoft Graph; wire assistants into Teams/SharePoint and line‑of‑business apps.

• Delivery engineering: Enforce CI/CD (GitHub Actions/Azure DevOps) and IaC (Terraform/Bicep); support multi‑region rollout strategies.

Minimum Qualifications

• 7+ years in software/solution architecture; strong Python plus one of Java/TypeScript.
• Proven delivery on OpenAI/Azure OpenAI (Assistants/tool calling, RAG, eval/safety, observability) and enterprise deployments (auth, policies, cost).
• Hands‑on CI/CD and IaC; excellent customer‑facing communication.

Preferred (mix‑and‑match)

• ChatGPT Enterprise administration (SSO/SCIM/RBAC), custom GPTs governance, usage analytics.
• Fine‑tuning (dataset QA, training/eval pipelines, regression testing).
  • RAG stacks (Azure Cognitive Search, Redis/pgvector), OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel;
• OpenAI Observability, OpenTelemetry.
• Professional-level cloud certifications
• Representative problems you'll work on
• Clinical advisors, shopping assistants, insurance document copilots, ServiceNow analytics, SAP copilots, and utilities/regulatory assistants delivered with agentic orchestration, guardrails, and observability across OpenAI‑first and multi‑vendor contexts.

About HCLTech AI & Cloud Native Labs

• We are HCLTech's global Centre of Excellence guiding advanced‑tech adoption for the world's largest enterprises—combining strategic advice with accelerated engineering and open‑source leadership (CNCF).

Pay and Benefits

Pay Range Minimum: $200000 per Year

Pay Range Maximum: $ Per Year

HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You'll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.