HCLTech
Job Title
OPEN AI Architect
Job ID: 1632462BR
Employment Type: Full-time
Location: Santa Clara, CA & East Brunswick, NJ
Seniority Level: Mid-Senior level
Responsibilities
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.
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.
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; integrating 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.
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.
ChatGPT Enterprise administration (SSO/SCIM/RBAC), custom GPTs governance, usage analytics.
RAG stacks (Azure Cognitive Search, Redis/pgvector), OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel.
Pay & Benefits Base pay range: $200,000 – $220,000 per year (dependent on skills, experience, etc.).
Benefits include medical, dental, vision, pharmacy, life, accidental death & dismemberment, disability insurance; employee assistance program; 401(k) retirement plan; 10 days paid time off per year (some positions eligible for need‑based leave); and 10 paid holidays per year.
EEO Statement HCLTech 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 secure@hcltech.com for investigation.
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.
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Job ID: 1632462BR
Employment Type: Full-time
Location: Santa Clara, CA & East Brunswick, NJ
Seniority Level: Mid-Senior level
Responsibilities
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.
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.
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; integrating 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.
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.
ChatGPT Enterprise administration (SSO/SCIM/RBAC), custom GPTs governance, usage analytics.
RAG stacks (Azure Cognitive Search, Redis/pgvector), OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel.
Pay & Benefits Base pay range: $200,000 – $220,000 per year (dependent on skills, experience, etc.).
Benefits include medical, dental, vision, pharmacy, life, accidental death & dismemberment, disability insurance; employee assistance program; 401(k) retirement plan; 10 days paid time off per year (some positions eligible for need‑based leave); and 10 paid holidays per year.
EEO Statement HCLTech 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 secure@hcltech.com for investigation.
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.
#J-18808-Ljbffr