Integration Architect (Associate Director – Technology Architecture) 15-20years Exp

HypTechie; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

HypTechie is seeking an experienced Integration Architect (Associate Director) in Bengaluru to lead AI-driven integration programs. You’ll architect end-to-end solutions spanning MES/ERP/SCADA/DCS, integrating AI agents with multi-agent orchestration, data pipelines, and governance.

You will engage C-suite stakeholders and mentor teams across projects. You will shape strategies for industrial AI adoption, drive pre-sales activities, and partner with hyperscalers and industrial tech providers to

Qualifications

• Proven track record delivering AI + integration solutions at scale in industrial domains.
• Deep expertise in AI Agents & Workflow Integration with multi-agent orchestration.
• Strong knowledge of MES, MOM, SCADA/DCS, OPC UA, MQTT, Kafka.
• Experience with edge AI deployment on GPU/embedded platforms and Kubernetes.

Responsibilities

• Define industrial AI roadmaps aligned to KPIs like OEE, yield, cost, throughput, sustainability.
• Advise CxO stakeholders on autonomous workflows, closed-loop optimization, human-in-the-loop decisioning.
• Architect end-to-end integration solutions and data architectures across plant–edge–cloud.
• Lead MLOps/LLMOps pipelines and edge deployments; establish observability and governance.

Skills

AI Agents

Workflow Integration

MES/SCADA/OPC UA

ML/LLM stacks

MLOps/LLMOps

Edge AI deployment

Security & Governance

Pre-sales & solution shaping

Education

Bachelor’s or Master’s in Engineering/CS/Data Science

PhD preferred for R&D roles

Tools

NVIDIA Jetson/IGX

Kubernetes

Triton

OPC UA

Kafka

LangChain

LangSmith

Guardrails

PyTorch

TensorFlow

Job description

Job ID: ATCI-5083456-S1890304 Location: Bengaluru, India Employment Type: Full Time Experience: 15–20 Years Education: Minimum 15 years of full-time education (Bachelor’s/Master’s in Engineering, CS, or Data Science; PhD preferred for R&D-focused roles)

Role Overview

We are seeking an experienced Integration Architect (Associate Director) with deep expertise in AI Agents & Workflow Integration for industrial and enterprise environments. This role is client-facing and C-suite-engaging, requiring both technical depth in integration/AI systems and strategic advisory skills. You will architect end-to-end integration solutions powered by AI and autonomous multi-agent systems—spanning manufacturing, supply chain, and operations—while ensuring compliance, scalability, and measurable business outcomes.

Key Responsibilities

Strategy & Advisory

• Define Industrial AI & Agentic AI roadmaps aligned to business KPIs (OEE, yield, cost, throughput, sustainability).
• Advise CxO stakeholders on AI-driven integration opportunities (autonomous workflows, closed-loop optimization, human-in-the-loop decisioning).
• Shape governance, operating models, and funding approaches for scaling agentic platforms.

Integration & Architecture

• Architect end-to-end integration solutions: mapping business processes, defining data entities, selecting technology stacks, and designing the integration architecture.
• Build reference architectures across edge–plant–cloud ecosystems (data ingestion, streaming, model registries, policy engines, observability).
• Implement integration of AI agents with MES/ERP/SCADA/DCS/CMMS, ensuring safe tool execution and IT/OT convergence.

Agentic AI & Use Cases

• Design multi-agent architectures (planner/solver/critic) for predictive maintenance, yield optimization, scheduling, and quality automation.
• Deploy AI agents with RAG, knowledge graphs, and vector databases to power reasoning and decision-making.
• Implement guardrails, auditability, and human-in-the-loop controls to ensure safe and responsible AI operation.

MLOps & LLMOps

• Establish pipelines for ML and LLM (CI/CD, prompt versioning, drift detection, lineage tracking).
• Lead edge AI deployments on NVIDIA/Intel platforms with Kubernetes, Docker, and Triton.
• Build observability frameworks for agent actions, SLAs, and KPI adherence.

Governance & Compliance

• Codify Responsible AI & Agentic Safety policies (explainability, auditability, security, privacy).
• Ensure compliance with industrial and IT/OT standards (GxP, FDA 21 CFR Part 11, IEC 62443, ISO 27001/26262, AS9100).

Leadership & Delivery

• Serve as chief architect/design authority for AI + integration programs.
• Mentor architects, ML engineers, and data teams across projects.
• Contribute to pre-sales, solution shaping, and ecosystem partnerships with hyperscalers and industrial tech providers.

Professional & Technical Skills

Must Have:

• Proven record delivering AI + integration solutions at scale in industrial/manufacturing domains.
• Strong expertise in AI Agents & Workflow Integration with multi-agent orchestration.
• Deep knowledge of integration technologies, shop‑floor systems, and protocols (MES, MOM, SCADA/DCS, OPC UA, MQTT, Kafka).
• Proficiency in ML/LLM stacks (PyTorch, TensorFlow, LangChain, RAG, vector DBs).
• Hands-on with MLOps/LLMOps frameworks (MLflow, Kubeflow, Databricks, SageMaker, LangSmith, Guardrails).
• Experience with edge AI deployment (NVIDIA Jetson/IGX, x86 GPU, Intel iGPU, K8s/K3s).
• Strong security & governance background (Zero Trust, IEC 62443, data residency, IP protection).

Good to Have:

• Agentic frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel).
• Digital twins and simulation (NVIDIA Omniverse, AnyLogic, AspenTech, Siemens).
• Optimization & reinforcement learning (cuOpt, OR-Tools, Gurobi, RLlib).
• Standards & frameworks (ISA-95, RAMI 4.0, DAMA-DMBOK).
• Six Sigma/Lean/TPM exposure for credibility with operations.

Why Join Us?

This role places you at the forefront of AI-driven integration and automation, shaping how enterprises leverage agentic AI systems to transform operations. As a technology leader, you’ll partner with executives and engineering teams to deliver scalable, secure, and business-critical solutions.