AI Architect

Job Title: Enterprise AI Architect

Location: Hyderabad

Experience: 10+ Years

Employment Type: Full-Time

About People Tech Group

People Tech Group is a global digital transformation and AI-first services company, trusted

by Fortune 500 and global enterprises. We specialize in Data & AI, Cloud, GenAI, IoT,

Enterprise Platforms, and Advanced Analytics, helping organizations modernize their

technology landscape and unlock measurable business outcomes.

Role Overview

We are seeking experienced AI Data Discovery & Enterprise AI Implementation

Specialists to lead enterprise data discovery, identify high-impact AI use cases, and drive

end-to-end implementation of AI solutions.

This role sits at the intersection of data strategy, AI innovation, and enterprise

execution, enabling our clients to realize tangible business value from their data assets and

AI investments.

Key Responsibilities

1. Enterprise Data Discovery & Assessment

 Assess enterprise data landscapes (structured, unstructured, streaming, IoT,

operational data).

 Perform data profiling, quality analysis, lineage mapping, and readiness assessment

for AI adoption.

 Identify data silos, integration gaps, governance challenges, and modernization

opportunities.

 Build scalable data discovery and enterprise data inventory frameworks.

2. AI Use Case Identification & Prioritization

 Partner with business stakeholders to identify high-value AI/ML use cases.

 Translate business problems into AI-driven solutions across:

o Predictive Analytics

o Generative AI copilots

o Intelligent Process Automation

o Customer Intelligence

o Operational Optimization

 Prioritize use cases based on ROI, feasibility, scalability, and strategic impact.

3. Solution Design & AI Implementation

 Architect and implement AI solutions leveraging:

o Cloud platforms: Azure, AWS, GCP

o Data platforms: Databricks, Snowflake, Microsoft Fabric

o AI/ML frameworks: PyTorch, TensorFlow, LLM ecosystems

 Design data pipelines, ML workflows, model deployment strategies, and enterprise

integrations.

 Ensure seamless integration with ERP, CRM, IoT platforms, and legacy systems.

4. Enterprise AI Adoption, MLOps & Governance

 Establish enterprise AI governance frameworks covering:

o Responsible AI

o Security, privacy & compliance

o Data governance alignment

 Drive adoption across business units through stakeholder enablement and change

management.

 Implement MLOps / AIOps strategies for scalable AI operations.

5. Business Value Realization & Executive Reporting

 Define measurable KPIs and success metrics for AI initiatives.

 Track ROI, operational impact, and transformation outcomes.

 Deliver executive-level dashboards and insights to leadership.

Required Skills & Experience

Technical Skills

 Strong experience in enterprise data platforms and cloud ecosystems.

 End-to-end AI/ML lifecycle exposure, including Generative AI adoption.

 Data engineering fundamentals:

o ETL/ELT pipelines

o API integrations

o Data modeling

 Solid understanding of enterprise architecture patterns.

Business & Consulting Skills

 Strong stakeholder management, including C-level engagement.

 Ability to translate business objectives into AI strategies and execution roadmaps.

 Excellent communication, storytelling, and presentation skills.

Tools & Technologies (Typical Stack)

 Cloud: Azure AI, AWS AI/ML, Google Vertex AI

 Data: Databricks, Snowflake, Microsoft Fabric, Hadoop

 AI: LLM frameworks, MLOps platforms, Python, R

 Visualization: Power BI, Tableau, AI-driven dashboards

Preferred Experience

 Large-scale enterprise data & AI transformation programs.

 Industry exposure: Automotive, Aerospace, Manufacturing, Retail, Logistics, Public

Sector.

 Experience driving AI-led modernization and digital transformation initiatives.

Ideal Candidate Profile

 Hybrid Data Architect + AI Strategist + Delivery Leader.

 Strong consultative mindset with hands-on execution capability.

 Proven ability to move from Discovery → Use Case → Deployment → Business

Value Realization.

Required Skills & Experience

- Strong experience in enterprise data platforms and cloud ecosystems

- End-to-end AI/ML lifecycle exposure including Generative AI

- Data engineering fundamentals (ETL/ELT, APIs, data modeling)

- Strong stakeholder engagement and consulting skills

Why Join People Tech Group

 Work on cutting-edge AI initiatives for global electronics and embedded

companies

 High-growth role with exposure to international markets and strategic accounts

 Opportunity to shape People Tech Group's AI + Embedded go-to-market strategy

 Collaborative leadership team and strong delivery backbone

 Career growth in a fast-scaling global technology organization

Skills Required
Data Modeling, Etl, MLops, ELT