AI Architect / Engagement person

Prophecy Technologies Corp; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Prophecy Technologies Corp seeks a seasoned AI Architect / Engagement Manager to drive enterprise AI transformation. With 15+ years in IT, you will shape AI strategy, architecture, and client engagements from discovery to delivery.

You will lead cross-functional teams, engage CXO stakeholders, and craft scalable AI solutions across GenAI, NLP, and LLM-enabled platforms, guiding projects through full lifecycle.

Qualifications

• 15+ years of IT experience with enterprise AI transformation and solution architecture.
• Strong AI/ML and Generative AI background with RAG, AI Agents, and NLP.
• Ability to engage CXO-level stakeholders and define AI roadmaps.
• Experience leading cross-functional teams through delivery of scalable AI solutions.

Responsibilities

• Define and lead enterprise AI and Generative AI strategies and roadmaps.
• Design end-to-end AI/ML architectures for complex enterprise use cases.
• Engage with CXO stakeholders and translate business needs into AI roadmaps.
• Lead POCs, workshops, and client demonstrations.
• Mentor architects and collaborate with delivery teams.

Skills

AI/ML & Gen AI

CXO Stakeholder Engagement

Enterprise Architecture

Solution Design

Leadership & Mentoring

Python

LLM Orchestration

RAG & AI Agents

NLP

Tools

Azure AI / Azure OpenAI

AWS Bedrock

Google Vertex AI

Job description

Explore our open positions and apply today

AI Architect / Engagement person

Role Type

Full-time

Location

Work Mode

ONSITE

Experience

15+ Years

Description

Role Overview:

We are looking for a highly experienced AI Architect / AI Engagement Manager with

15+ years of IT experience to drive enterprise AI transformation, solution architecture,

client engagement, and AI-led consulting initiatives.

The ideal candidate should have a strong combination of AI/ML, Generative AI,

enterprise architecture, consulting, solutioning, and stakeholder management

experience. The role requires someone who can engage with CXO-level stakeholders,

understand business challenges, identify AI opportunities, define solution roadmaps,

and lead teams in delivering scalable AI solutions.

Key Responsibilities:

AI Strategy & Architecture

• Define and lead enterprise AI and Generative AI strategies and roadmaps.
• Design end-to-end AI/ML and GenAI solution architectures for complex
• Architect solutions involving LLMs, RAG, AI Agents, NLP, Machine Learning,
• and conversational AI.
• Evaluate AI technologies, models, platforms, and frameworks based on business
• requirements.
• integration, governance, and cost optimization.
• Establish best practices for responsible AI, data privacy, AI governance, and
• Provide technical leadership across multiple AI initiatives and programs.

Client Engagement & Consulting

• Act as a senior AI advisor to clients and business stakeholders.
• Engage with CXO, business, product, and technology leadership to understand business challenges.
• Conduct AI discovery workshops, ideation sessions, architecture reviews, and solution workshops.
• Identify and prioritize AI/GenAI use cases based on business value and technical feasibility.
• Translate business requirements into AI solutions, technical roadmaps, and implementation plans.
• Present AI strategies, architectures, POCs, and recommendations to senior stakeholders.
• Pre-Sales & Business Development and technical discussions.
• Develop AI solution proposals and create compelling business cases for AI
• Lead customer demonstrations, POCs, and technical presentations.
• Work closely with sales and account teams to identify and develop new AI
• Contribute to account growth through AI-led consulting and solutioning.

Delivery & Technical Leadership

• Provide architecture and technical direction to AI/ML engineering teams.
• Guide teams from ideation and POC through production deployment and
• Review technical designs and ensure adherence to enterprise architecture standards.
• Identify technical risks, dependencies, and mitigation strategies.
• Mentor senior architects, engineers, and technical leads.
• Collaborate with engineering, data, cloud, security, and delivery teams.

Required Technical Expertise

• 15+ years of experience in IT, technology architecture, consulting, or solution
• Strong experience in AI/ML and Generative AI.
• Strong understanding of:
• Retrieval-Augmented Generation (RAG)
• AI Agents / Agentic AI
• Prompt Engineering
• NLP
• Vector Databases
• LLM orchestration
• Strong knowledge of Python and AI/ML frameworks.
• Experience with cloud AI platforms such as Azure AI / Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Knowledge of MLOps / LLMOps, model deployment, monitoring, evaluation, and governance.
• Experience with APIs, microservices, enterprise integration, data platforms, and
• cloud-native architectures.
• Understanding of enterprise security, data governance, privacy, and responsible