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Consultant-Lead Architect (Enterprise AI)

  • Full Time
  •  Hybrid - Mumbai Metropolitan Region
  • 9 months
  • Project posted on: 29/12/2025
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Consultant-Lead Architect (Enterprise AI)

  • Technology
  • Project/Program Management
  • DevOps
  • Software architect

Hybrid - Mumbai Metropolitan Region, Delhi / NCR, Chennai, Bengaluru

Full Time

9 months

 29/12/2025

Assignment Details

Key Responsibilities

  • Design, drive, and continuously evolve hybrid enterprise architectures spanning on-prem systems, OT/shopfloor technologies (MES, SCADA, Historians, LIMS), enterprise IT platforms (SAP, Salesforce, UNS), and Azure cloud-native and AI services.
  • Define and maintain enterprise-wide reference architectures to standardize integration patterns, data flows, cloud adoption, ML and GenAI platforms, and hybrid connectivity.
  • Establish and own architectural standards and design principles for AI, ML, and analytics solutions.
  • Build and enforce architecture governance frameworks across application, data, integration, infrastructure, Responsible AI, and security domains.
  • Collaborate with business and IT leadership, AI program managers, product owners, and technical leads to translate business needs into scalable, secure architectures and implementation roadmaps.
  • Lead Build vs. Buy evaluations for AI, data, integration, and platform components, considering feasibility, TCO, vendor maturity, scalability, hybrid fit, and compliance.
  • Guide application teams on system integration, microservices, API design, and interoperability across enterprise platforms.
  • Define and lead architecture review and approval processes to ensure consistency and quality across all AI initiatives.
  • Provide technical leadership across delivery squads by reviewing designs and resolving complex architectural challenges.
  • Steward enterprise data governance and security architecture, ensuring lineage, cataloging, access controls, encryption, and regulatory compliance.
  • Drive Zero Trust, identity, network segmentation, and cloud security architectures to meet regulated pharma and audit-readiness requirements.
  • Establish KPIs for architecture compliance, platform reliability, and AI model performance at scale.
  • Lead internal teams and external partners (vendors, SIs, cloud providers), ensuring alignment on architecture direction, delivery quality, and operational readiness.
  • Oversee architectural roadmaps, capacity planning, reporting, and executive communications for AI and data platform programs.
  • Partner with compliance and regulatory teams to ensure AI systems meet FDA, EMA, ISO, GxP, GDPR, and related requirements.
  • Stay current with emerging technologies, AI governance frameworks, and industry trends to guide long-term architectural evolution.

Skills Required

Key Skills & Qualifications

  • 12+ years of experience in IT, digital, cloud, and enterprise architecture roles, with 8+ years leading enterprise-scale architecture design and governance across AI platforms, data ecosystems, and hybrid infrastructure.
  • 3+ years of hands-on experience designing or governing hybrid OT–IT–Cloud environments and enterprise AI/ML/GenAI platforms.
  • Deep expertise in AI/ML lifecycle management, data architectures, security, and Azure cloud-native frameworks.
  • Proven experience in Build vs. Buy analysis, SaaS selection, vendor evaluation, and platform modernization at scale.
  • Strong knowledge of data platforms including structured/unstructured data, lakehouse architectures, and real-time processing frameworks.
  • Experience integrating shopfloor and enterprise systems such as MES, ERP, and CRM (e.g., SAP, Salesforce, UNS).
  • Solid IT/OT architecture experience enabling secure and reliable plant-to-enterprise integration.
  • Expertise in Industrial IoT (IIoT) ecosystems, edge architectures, connectivity standards, and ingestion patterns.
  • Experience defining and implementing Responsible AI frameworks ensuring fairness, transparency, and compliance.
  • Strong understanding of microservices, DevOps, containerization (Docker, Kubernetes), and CI/CD automation.
  • In-depth knowledge of data privacy, cybersecurity, and compliance frameworks (HIPAA, GxP, GDPR).
  • Familiarity with enterprise architecture frameworks such as TOGAF, Zachman, IT4IT, BIAN, TM Forum.
  • Excellent documentation and communication skills with the ability to engage both technical and executive stakeholders.
  • Demonstrated ability to influence and align cross-functional teams around a shared architectural vision.
  • Deep domain expertise in pharmaceutical and life sciences environments.

About the Client

A top-tier management consulting firm

Industry

IT Services & Consulting

Experience Required:

12+ years

Additional Skills:

  • IIOT
  • Enterprise Architecture
  • Devops
  • AI/ML
  • Azure
  • Cloud Architecture
  • Azure Facric

No of open positions:

1

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