– AI Architect / AI Engagement Manager

Experience: 15+ Years of Overall IT Experience

Location: Hyderabad

Role: AI Architect / AI Engagement

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 enterprise requirements.
- Architect solutions involving LLMs, RAG, AI Agents, NLP, Machine Learning,

and conversational AI.
- Evaluate AI technologies, models, platforms, and frameworks based on business requirements.
- Define architecture standards covering scalability, security, performance,

integration, governance, and cost optimization.
- Establish best practices for responsible AI, data privacy, AI governance, and model lifecycle management.
- 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
- Support RFP/RFI responses, proposals, solution presentations, estimations,

and technical discussions.
- Develop AI solution proposals and create compelling business cases for AI adoption.
- Lead customer demonstrations, POCs, and technical presentations.
- Work closely with sales and account teams to identify and develop new AI opportunities.
- 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 operationalization.
- 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 engineering.
- Strong experience in AI/ML and Generative AI.
- Strong understanding of:

o Large Language Models (LLMs)

o Retrieval-Augmented Generation (RAG)

o AI Agents / Agentic AI o Prompt Engineering o NLP o Machine Learning o Vector Databases o 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

AI.

Preferred Technical Skills:

- Azure OpenAI / Microsoft AI ecosystem
- AWS Bedrock
- Google Vertex AI
- LangChain / LlamaIndex or equivalent
- AI Agent frameworks
- Azure AI Search / Pinecone / FAISS / OpenSearch
- Docker / Kubernetes
- CI/CD and DevOps
- Enterprise Data & Analytics platforms
- Cloud and hybrid architecture

Leadership & Consulting Competencies
- Strong client-facing and executive communication skills.
- Ability to engage effectively with CXO, VP, Director, and senior technology stakeholders.
- Strong consulting, influencing, and stakeholder-management capabilities.
- Ability to simplify and communicate complex AI concepts to business audiences.
- Strong business acumen with the ability to connect AI initiatives to measurable business outcomes.
- Ability to lead multidisciplinary teams and drive initiatives across multiple stakeholders.
- Robust analytical, problem-solving, and decision-making skills.

Education

Bachelor's or Master's degree in Computer Science, Engineering, Artificial

Intelligence, Data Science, or a related discipline.

Key Success Measures:

- Development and execution of enterprise AI/GenAI strategies.
- Identification and conversion of high-value AI use cases.
- Successful client engagement and AI consulting.
- Successful POC-to-production transformation.
- Creation of scalable, secure, and cost-effective AI architectures.
- Contribution to AI-led business growth and new opportunities.
- Strong stakeholder and client satisfaction

📌 AI Architect (Hyderabad)
🏢 Prophecy Technologies
📍 Hyderabad