Job Summary
We are seeking a highly experienced Senior AI Consultant / GenAI Solution Architect with strong expertise in designing, building, and deploying production-grade multi-agent GenAI systems for enterprise use cases. The ideal candidate will have deep hands-on experience in agentic AI frameworks, RAG architectures, observability integrations, enterprise AI governance, and Root Cause Analysis (RCA)-driven intelligent automation.
This role requires ownership of the complete lifecycle—from solution architecture and pilot execution to deployment and hypercare support—while working closely with technical teams, business stakeholders, and enterprise leadership.
Responsibilities
- Design, architect, and deploy enterprise-scale multi-agent GenAI systems for complex business workflows.
- Build intelligent agent ecosystems using frameworks such as LangChain, CrewAI, AutoGen, or equivalent agentic orchestration frameworks.
- Tool calling
- Memory orchestration
- Reflection / critique loops
- Context management
- Knowledge retrieval pipelines
- Design and operationalize AI personas, persona catalogs, system prompts, behavioral boundaries, and tone/authority controls within agent workflows.
- Integrate persona adaptation mechanisms directly into agent orchestration flows, rather than post-response processing.
- 5 Whys
- Ishikawa (Fishbone Analysis)
- Fault Tree Analysis
- Logs
- Metrics
- Traces
- Events
- Monitoring systems
- Guardrails
- PII protection
- Access control
- Auditability
- Compliance enforcement
- Policy-bound AI behavior
- Collaborate with business stakeholders to translate enterprise use cases into scalable GenAI solutions.
- Present technical outcomes in business-friendly language for leadership and customer-facing discussions.
- Solution design
- Proof of Concept
- Pilot execution
- Production deployment
- Hypercare support
- Work with cross-functional teams across architecture, engineering, operations, compliance, and customer success.
Skills
- Strong proficiency in machine learning frameworks such as TensorFlow, Spark MLlib, or similar platforms.
- Extensive experience with AWS cloud services for deploying scalable AI solutions.
- Expertise in natural language processing (NLP), data mining, and big data analytics techniques.
- Programming skills in Python, Java, C, Bash (Unix shell), VBA, and familiarity with Java for application development.
- Knowledge of SQL databases along with experience in database design and linked data concepts.
- Hands-on experience with ETL tools like Talend or similar for data integration workflows.
- Familiarity with SAS analytics software and R programming for statistical analysis.
- Understanding of model training processes including supervised and unsupervised learning approaches.
- Ability to work with machine learning frameworks such as TensorFlow or similar platforms for model development and deployment.
- Knowledge of quantum engineering principles relevant to advanced AI research is a plus. Join us as an AI Consultant to lead innovative projects that revolutionize how organizations utilize artificial intelligence!
Technical Skills
- Strong hands-on experience with:
- LangChain
- CrewAI
- AutoGen
- Multi-agent orchestration frameworks
- Deep expertise in:
- RAG architectures
- Tool calling
- Agent memory systems
- Reflection / critique loops
- Context engineering
- Prompt orchestration
- Strong programming proficiency in Python (preferred for agentic AI workflows)
- Experience with cloud AI ecosystems:
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- Anthropic APIs
- Experience integrating with observability platforms and enterprise monitoring systems
- Knowledge of:
- Responsible AI frameworks
- AI safety guardrails
- Security and compliance controls
- Access governance
- Audit mechanisms
Domain / Functional Skills
- Hands-on experience in Root Cause Analysis (RCA) for complex systems:
- IT Operations
- Networking
- Customer journey troubleshooting
- Distributed systems
- Experience embedding RCA reasoning into autonomous AI workflows
- Experience designing enterprise AI personas and behavioral policy enforcement
- Familiarity with regulated industry environments:
- Telecom
- BFSI / Finance
- Healthcare
Leadership / Business Skills
- Strong stakeholder management and communication skills
- Ability to explain complex AI concepts to business stakeholders
- Program ownership mindset with delivery accountability
- Experience leading enterprise AI transformation initiatives
Experience Requirements
- 8–12 years of experience in:
- AI / ML
- Software Engineering
- Data Science
- Intelligent Automation
- 2–3+ years specifically in Generative AI / Agentic AI systems
- Must have successfully delivered at least one production-grade or late-stage pilot multi-agent GenAI implementation
Preferred Qualifications
- Experience in enterprise AI consulting engagements
- Exposure to LLMOps / MLOps practices
- Experience with enterprise architecture and integration patterns
- Familiarity with vector databases, embeddings, and knowledge orchestration
- Prior experience in customer-facing consulting or solution advisory roles
Pay: $70.00 - $90.00 per hour
Benefits:
- Paid time off
- Parental leave
Work Location: In person
