Job Title: AI Lead
Location: Plano TX (Onsite)
Job Type: Contract
Responsibilities:
- Define and execute strategies for deploying agentic AI systems that autonomously perform tasks make decisions and interact with users and environments
- Architect multi-agent systems leveraging frameworks like LangGraph AutoGen Crew AI and integrate them with enterprise platforms.
- Design and deploy Gen AI applications using LLMs RAG pipelines and agentic frameworks.
- Fine-tune models using techniques such as LoRA QLoRA PEFT for domain-specific tasks.
- Build integrations with cloud-native AI services (AWS Bedrock Azure OpenAI GCP Vertex AI).
- Lead end-to-end delivery of AI solutions-from requirements gathering to deployment and optimization.
- Collaborate with cross-functional teams (Product Data Engineering UX) to ensure production readiness
- Establish AI governance safety protocols and compliance with regulations (HIPAA GDPR for healthcare).
- Promote responsible AI adoption and ethical practices
- Drive proof-of-concepts and convert learnings into scalable frameworks and playbooks.
- Champion cultural change for AI-first processes and workforce reskilling
Skills:
- Bachelors/Masters in Computer Science AI/ML Data Science or related field
- 4 years in software engineering or data science.
- 2 3 years in Gen AI or LLM-based systems.
- Hands-on experience with Python ML libraries (Hugging Face LangChain PyTorch) and vector databases (FAISS Pinecone).
- Familiarity with cloud platforms (AWS Azure GCP).
- REST API development containerization (Docker) and CI/CD pipelines.
- Strong understanding of agentic workflows autonomous agents and multi-agent orchestration.
Job Title: AI Lead Location: Plano TX (Onsite) Job Type: Contract Responsibilities: Define and execute strategies for deploying agentic AI systems that autonomously perform tasks make decisions and interact with users and environments Architect multi-agent systems leveraging frameworks like Lang...
Job Title: AI Lead
Location: Plano TX (Onsite)
Job Type: Contract
Responsibilities:
- Define and execute strategies for deploying agentic AI systems that autonomously perform tasks make decisions and interact with users and environments
- Architect multi-agent systems leveraging frameworks like LangGraph AutoGen Crew AI and integrate them with enterprise platforms.
- Design and deploy Gen AI applications using LLMs RAG pipelines and agentic frameworks.
- Fine-tune models using techniques such as LoRA QLoRA PEFT for domain-specific tasks.
- Build integrations with cloud-native AI services (AWS Bedrock Azure OpenAI GCP Vertex AI).
- Lead end-to-end delivery of AI solutions-from requirements gathering to deployment and optimization.
- Collaborate with cross-functional teams (Product Data Engineering UX) to ensure production readiness
- Establish AI governance safety protocols and compliance with regulations (HIPAA GDPR for healthcare).
- Promote responsible AI adoption and ethical practices
- Drive proof-of-concepts and convert learnings into scalable frameworks and playbooks.
- Champion cultural change for AI-first processes and workforce reskilling
Skills:
- Bachelors/Masters in Computer Science AI/ML Data Science or related field
- 4 years in software engineering or data science.
- 2 3 years in Gen AI or LLM-based systems.
- Hands-on experience with Python ML libraries (Hugging Face LangChain PyTorch) and vector databases (FAISS Pinecone).
- Familiarity with cloud platforms (AWS Azure GCP).
- REST API development containerization (Docker) and CI/CD pipelines.
- Strong understanding of agentic workflows autonomous agents and multi-agent orchestration.
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