AI-driven process automation, intelligent workflow mining, and task orchestration
using
AutoGen, CrewAI, WrenAI, and Azure AI
. The architect will drive
enterprise-grade AI platform development
, ensuring
seamless integration of structured (SQL) and unstructured data (images, videos, logs, etc.)
while leveraging
LLMs, process mining, RPA, Data Science and AI/ML techniques
for automation, scalability, and decision intelligence.
Responsibilities:
1. Architectural Design:
Define AI-powered
process automation blueprints
and
agentic AI frameworks
.
Design scalable, secure, and high-performance architectures for
AI-first process mining and discovery
.
Establish
LLM-based active learning pipelines
for continuous improvement and adaptability.
2. Implementation and Development:
Lead the development of
AI-driven workflow automation
using
AutoGen's inter-agent collaboration
.
Build
process intelligence layers
to optimize execution, anomaly detection, and decision automation.
Develop and deploy
RPA-enhanced AI agents
for business process transformation.
3. Integration and Testing:
Integrate
Azure AI Search, Vector DBs, and Intelligent Process Automation
to extract insights from enterprise data.
Implement
multi-modal AI pipelines
handling structured and unstructured inputs for dynamic processing.
Optimize
AI-driven anomaly detection
for automated error resolution and predictive analytics.
4. Optimization and Performance Tuning:
Leverage
ML-driven process mining
for
automated workflow discovery, execution efficiency, and intelligent recommendations
.
Implement
continuous AI learning cycles
to improve accuracy and execution speed over time.
Optimize
end-to-end process intelligence dashboards
using advanced NLP and BI visualizations.
5. Documentation and Knowledge Sharing:
Develop
comprehensive architectural documentation
for AI-driven process intelligence solutions.
Lead knowledge-sharing initiatives to align teams on best practices in
GenAI, RPA, and Intelligent Process Automation
.
Mentor teams on
AutoGen-based AI workflow orchestration and scalable AI agent development
.
Skills Required:
Must have:
AutoGen Framework, CrewAI, WrenAI,
Task Automation Agents
, and
Process Intelligence Systems
.
Must have:
Deep experience in
AI-driven Process Discovery, Mining, and RPA Integration
.
Must have:
Azure AI Search,
Vector DBs for process intelligence
, and AI-powered
workflow automation
.
Must have:
Hands-on expertise in
SQL, unstructured data processing
, and AI-based
data curation pipelines
.
12-14 years
in
AI platform engineering, process automation, and intelligent systems development
.
5+ years recent
leading
AI-powered enterprise automation projects
using Python, Flask/Django/FastAPI.
Expertise in
building ML/AI pipelines
leveraging
Azure Synapse, AI Search, and LLM-based analytics
.
Experience designing
vector databases
(Pinecone, FAISS, Weaviate, ChromaDB) and AI-powered
workflow models
.
Deep expertise in
AI/ML-powered business process modeling
for task orchestration and intelligent automation.
Knowledge of
Azure Form Recognizer, OCR for intelligent document processing, and NLP-driven automation
.
Hands-on experience with
AutoGen, TaskWeaver, RAG, RLHF, and process-driven AI workflow automation
.
Strong communication, architecture sketching, and AI-driven
platform development expertise
.
Job Types: Full-time, Permanent
Pay: ₹3,000,000.00 - ₹4,000,000.00 per year
Application Question(s):
How many years of total experience do you currently have?
How many years of experience do you have in AI platform?
How many years of experience do you have in AI architecting?
Which tools/ technology do you have experience?
How many years of experience do you have in AutoGen, CrewAI, WrenAI, and Azure AI?
What is your current CTC?
What is your expected CTC?
What is your notice period / LWD?
* What is your current location?
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