Job Title: AI/ML and Chatbot Lead
Experience Level: 10+ Years (Lead/Architect level)
Location: Remote
Employment Type: Full-time
No. of Positions: 1
Job Overview:
We are seeking a visionary and hands-on AI/ML and Chatbot Lead to spearhead the design, development, and deployment of enterprise-wide Conversational and Generative AI solutions. This role will establish and scale our AI Lab function, define chatbot and multimodal AI strategies, and deliver intelligent automation solutions that enhance user engagement and operational efficiency.
Key Responsibilities
- Define and lead the enterprise-wide strategy for Conversational AI, Multimodal AI, and Large Language Models (LLMs).
- Build an AI/Chatbot Lab, creating a roadmap and driving innovations across in-app, generative, and conversational AI.
- Architect scalable AI/ML systems including presentation, orchestration, AI, and data layers.
- Collaborate with business stakeholders to assess needs, conduct ROI analyses, and deliver impactful AI use cases.
- Identify and implement agentic AI capabilities and SaaS optimization opportunities.
- Deliver POCs, pilots, and MVPsowning the design, development, and deployment lifecycle.
- Lead, mentor, and scale a high-performing team of AI/ML engineers and chatbot developers.
- Build multi-turn, memory-aware conversations using frameworks like LangChain or Semantic Kernel.
- Integrate bots with platforms like Salesforce, NetSuite, Slack, and custom applications via APIs/webhooks.
- Implement and monitor chatbot KPIs using tools like Kibana, Grafana, and custom dashboards.
- Champion ethical AI, governance, and data privacy/security best practices.
Must-Have Skills
- 10+ years in AI/ML; demonstrable success in chatbot, conversational AI, and generative AI implementations.
- Experience building and operationalizing an AI/Chatbot architecture framework used enterprise-wide.
- Expertise in:
- Python, LangChain, ElasticSearch, NLP (spaCy, NLTK, Hugging Face)
- LLMs (e.g., GPT, BERT), RAG, prompt engineering
- Chatbot platforms (Azure OpenAI, MS Bot Framework), CLU, CQA
- AI solution deployment and monitoring at scale
- Familiarity with:
- Machine learning algorithms, deep learning, reinforcement learning
- NLP techniques for NLU/NLG
- Cloud platforms (AWS, Azure, GCP), Docker, Kubernetes
- Vector DBs (Pinecone, Weaviate, Qdrant)
- Semantic search, knowledge graphs, intelligent document processing
- Strong grasp of AI governance, documentation, and compliance standards
- Excellent team leadership, communication, and documentation skills
Good-to-Have Skills
- Experience with Glean, Perplexity.ai, Rasa, XGBoost
- Familiarity with Salesforce, NetSuite, and business domains like Customer Success
- Knowledge of RPA tools like UiPath and its AI CenterRole & responsibilities
Interested candidate can call at 7087707007