Job ID: JOB_ID_7535
Role Overview:
We are seeking a highly skilled and experienced GenAI Lead / Architect to join our team. This role will be instrumental in designing, developing, and deploying cutting-edge Generative AI and Large Language Model (LLM) solutions. The ideal candidate will have a strong foundation in AI/ML, extensive hands-on experience with leading LLMs, and a proven ability to build and tune LLM-based applications.
Key Responsibilities:
- Lead the design and architecture of GenAI and LLM solutions.
- Develop and implement advanced Retrieval-Augmented Generation (RAG) pipelines.
- Build, tune, and deploy LLM-based applications using platforms like Vertex AI and Hugging Face.
- Develop robust prompt engineering strategies and create reusable prompt templates.
- Implement agentic framework-based use cases.
- Assess and ensure the performance and safety of GenAI features using Guardrails.
- Write clean, efficient, and maintainable Python code using libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
- Integrate generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
- Utilize various vector databases (e.g., PG Vector, Pinecone, MongoDB Atlas, Neo4j) for data storage and retrieval.
- Design solutions for high-throughput processing of large amounts of unstructured data.
- Deploy GenAI-based models to production environments.
- Apply MLOps principles for model evaluation and robust deployment pipelines.
- Implement CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps, Argo CD) for automated workflows.
- Utilize container orchestration platforms like OpenShift or Kubernetes for deploying and scaling applications.
Technical Skills Required:
- Core AI/ML Foundations: GenAI, Machine Learning (ML modeling), Data Science, Statistics, NLP, Neural Networks, LLMs.
- Generative AI & LLM Expertise: Hands-on experience with Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and other open-source LLMs.
- RAG Expertise: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines and advanced RAG techniques.
- Prompt Engineering: Expertise in developing prompt engineering strategies, prompt tuning, and creating reusable prompt templates.
- Agentic Frameworks: Hands-on experience with agentic framework-based use case implementation.
- GenAI Safety: Working knowledge of Guardrails for assessing GenAI feature performance and safety.
- Programming Proficiency: Strong Python programming skills with extensive experience in Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
- Enterprise Integration: Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
- Vector Databases: Hands-on experience with PG Vector, Pinecone, MongoDB Atlas, Neo4j.
- Data Handling: Experience with large amounts of unstructured data and high-throughput processing solutions.
- Deployment & MLOps: Experience deploying GenAI models to production, understanding of MLOps principles, model evaluation, and robust deployment pipelines.
- CI/CD: Strong expertise in CI/CD principles and tools (Jenkins, GitLab CI, Azure DevOps, Argo CD).
- Cloud & Containerization: Proven experience with OpenShift or Kubernetes for container orchestration.
Location:
Dallas, TX / Jersey City, NJ / Jacksonville, FL / Tampa, FL (The primary location for this role is Dallas, TX, with flexibility for other listed locations.)
Employment Type:
Onsite W2
Visa Sponsorship:
H1B
About the Role:
This is a critical role for a seasoned GenAI Lead/Architect who can drive innovation and deliver impactful AI solutions. You will work with a talented team to tackle complex challenges and shape the future of AI within our organization. The role requires a blend of deep technical expertise, strategic thinking, and strong leadership skills. We are looking for someone who is passionate about Generative AI and its potential to transform businesses. The ideal candidate will have a track record of successfully delivering AI projects from conception to production.
Why Join Us?
Join a forward-thinking company at the forefront of AI innovation. We offer a collaborative work environment, opportunities for professional growth, and the chance to work on challenging and rewarding projects. Be part of a team that is making a real impact with cutting-edge technology. We value continuous learning and provide resources to help our employees stay ahead in the rapidly evolving field of AI.
Next Steps:
If you are a passionate GenAI expert looking for your next challenge, we encourage you to apply. Please submit your resume for consideration. We look forward to hearing from you.
Special Requirements
Visa: H1B. Location: Texas. Interview modes and screening steps are not specified. Domain restrictions are not specified.
Compensation & Location
Salary: $150,000 – $200,000 per year
Location: Dallas, TX
Recruiter / Company – Contact Information
Email: an.goli@xcelogroup.com
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