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