AI Architect - Enterprise AI Systems & Intelligent Automation
Company:
Infinite Potential Digital Marketing Pvt. Ltd. (IPDM)
Location:
Bengaluru
Experience:
5-12 years
Job Type:
Full-Time
Compensation:
?30,00,000 - ?48,00,000 per year (Fixed + Performance Bonus)
ESOP:
Eligible after 18-24 months of proven performance
About IPDM
Infinite Potential Digital Marketing Pvt. Ltd. (IPDM) is a next-generation consulting and transformation company that brings together:
MBB-style Strategic Advisory
AI-Augmented Intelligence & Custom GPT Systems
Digital Infrastructure & Automation
Brand Architecture & Reputation Systems
Low-Cost, High-Volume Lead Generation
Sales Acceleration Frameworks
PMO/TMO Execution Governance
We are not a traditional agency.
We build
Integrated Business Growth Engines(TM)
-- end-to-end systems that help companies scale predictably using strategy, AI, and intelligent digital operations.
IPDM works across all major industries including manufacturing, technology, healthcare, FMCG, BFSI, SaaS, automotive, retail, real estate, logistics, education, agriculture, hospitality, energy, and more.
If you want to be part of a firm where strategic thinking and AI innovation come together to solve meaningful business problems, IPDM is the right place.
Role Overview
The AI Architect will design, build and deploy enterprise-grade AI systems for decision intelligence, research automation, forecasting, workflow automation and customer-facing applications.
This is a
client-facing, high-impact role
with deep collaboration across strategy, digital systems, sales, PMO, and leadership teams.
You will work on projects where AI directly influences CEO-level decisions, business transformation, and enterprise-wide execution.
Key Responsibilities
1. AI System Design & Development
Build custom GPTs, intelligent agents, research automation tools and forecasting systems
Design RAG pipelines, vector DB structures, embeddings and retrieval logic
Architect end-to-end workflows that integrate into real business processes
2. Strategy Alignment & Business Translation
Work with strategy consultants to understand business goals
Translate strategic requirements into AI system architecture and user flows
Participate in CXO discussions and help shape AI-led transformation initiatives
3. Sales, Pre-Sales & Client Interaction
You will work closely with sales & leadership to support deal closures.
Join sales calls and client meetings as the AI expert
Present solution concepts, demos, prototypes and POCs
Assist in building proposals and solution documents
Help the sales team articulate AI impact in simple terms
Participate in stakeholder discussions to align expectations
4. Prompt Engineering (Integrated Skill)
Prompt engineering is part of your system-design responsibility.
You will handle:
System-Level Prompting
Role, persona and behaviour prompts
Safety, guardrail and reasoning style configuration
Chain-of-Thought & Multi-Step Prompting
Structured reasoning workflows
Multi-stage pipelines for deeper analysis
Retrieval-Aware Prompting (RAG-Optimized)
Prompts aligned with embeddings, retrieval depth and vector DB design
Hallucination reduction through structured instructions
Function-Calling Prompt Design
Prompts that interact with APIs, tools and internal systems
AI agents that automate real tasks
Evaluation & Optimization
Stress-testing prompts for consistency
Refining prompts for accuracy, reliability and business alignment
Cross-Functional Prompt Development
Prompts built for strategy, PMO, sales, content, automation and operations teams.
Documentation & Prompt Libraries
Maintain reusable prompt frameworks and IPDM's internal prompt standards.
5. Decision Engines & Dashboards
Build AI dashboards for CXOs
Create forecasting engines, risk models, KPI intelligence layers
Deliver actionable insights and automated reporting workflows
6. Cross-Functional Collaboration
Work with digital engineering, brand/content, lead-gen and PMO teams
Ensure AI systems align with execution teams & business processes
7. Deployment, Testing & Continuous Improvement
Oversee end-to-end deployment of AI systems
Monitor accuracy, performance, adoption and business impact
Refine and improve systems based on user feedback
8. Documentation, Security & Governance
Maintain structured documentation for architecture, workflows and use cases
Ensure secure handling of client data
Follow responsible AI practices and internal governance standards
Required QualificationsEducation (Preferred)
B.Tech/M.Tech in CS/AI/ML/Data Science
IIT/NIT/BITS or other Tier-1 institutions preferred
Master's degrees from strong global universities welcome
(Equivalent experience is accepted.)
Technical Skills
Experience with LLMs, RAG, vector DBs, embeddings
Hands-on experience with OpenAI, LangChain or similar frameworks
Backend/API integration knowledge
Strong grasp of data flows and system design
Professional Skills
Ability to explain complex concepts simply
Ability to work with clients, sales teams and cross-functional stakeholders
Strong analytical thinking and problem-solving
High ownership, maturity and execution capability
Preferred Experience
Experience in consulting, enterprise AI, or product engineering
Client-facing or pre-sales experience
Work on digital transformation or data/AI projects
Experience creating AI agents, dashboards or automation systems
Compensation
Fixed Salary:
?26,00,000 - ?40,00,000
Performance Bonus:
?4,00,000 - ?8,00,000
Total CTC:
?30,00,000 - ?48,00,000
Signing Bonus:
Offered for exceptional candidates
ESOP:
Considered after 18-24 months
Why Work at IPDM
Build AI systems used daily by CEOs and leadership teams
Work on strategy + AI + execution -- not isolated tech tasks
Join a company that is redefining consulting in India
High ownership, autonomy and visibility
Create real impact across industries
Shape the future of IPDM's AI ecosystem
How to Apply
careers@ipdm.co.in
+91 99026 59208
www.ipdm.co.in
Please include your resume, portfolio, GitHub/agent links, or any AI prototypes you've built.
Job Types: Full-time, Permanent
Pay: ?3,000,000.00 - ?4,800,000.00 per year
Work Location: In person
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