Onsite // Senior AI Solution consultant (Python, LLM, HealthCare)

Onsite

Senior AI Solution consultant (Python, LLM, HealthCare)

Full time

Minneapolis, MN

Role Overview:

As a Senior AI Solution consultant, you will lead the design and implementation of cutting-edge AI solutions across diverse domains. You will collaborate with cross-functional teams to architect scalable, secure, and high-performance AI systems leveraging advanced machine learning, deep learning, and generative AI technologies. Able to work closely with customer to engage and win large AI related business across multiple LOBs.

Key Responsibilities:

• Customer engagement: Able to connect with customers to understand business need, drive proposal presentation and win the same for Wipro

• Solution Architecture: Understand and drive high level solutioning for AI systems, including data preprocessing data pipelines, model training, deployment, and integration with enterprise applications.

• Generative AI & LLMs: Architect high level of solutions using Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG).

• Performance Optimization: Optimize AI models for speed, scalability, and cost efficiency using frameworks like DeepSpeed, PyTorch Lightning, and Hugging Face Accelerate.

• Agentic AI: Drive autonomous AI agents leveraging frameworks like AutoGen, LangGraph, and Declarative Copilots.

• Collaboration: Work with hyperscalers (AWS, Azure, GCP, IBM) to scale solutions from POC to production.

• Domain Expertise: Deliver AI solutions tailored for healthcare domain. — This is key

Required Skills:

(Must Have):

• Programming: Python (expert), OOP, Data Structures & Algorithms

• Design Patterns and Software Architecture

• Python Libraries: NumPy, SciPy, Pandas, Matplotlib

• AI Frameworks: PyTorch (preferred), TensorFlow, Scikit-learn

• ML/DL fundamentals

• Microservices, Containers (Docker), basic Kubernetes

• Tools: Jupyter Notebook, GitHub, GitHub Copilot, JIRA, CI/CD, DevOps

• Strong problem-solving and debugging skills

Advanced AI Skills:

• LLM/AI Model Training: DeepSpeed, PyTorch FSDP, Hugging Face PEFT, LoRA/QLoRA

• Evaluation Metrics for LLMs

• Distributed Training: Ray (Core, Data, Train, Tune) - Is it required?

• PyTorch Ecosystem: PyTorch Lightning, Hugging Face Transformers, Accelerate

• Additional Frameworks: TensorFlow, Keras, XGBoost

• Agentic AI Frameworks: AutoGen, LangGraph, Declarative Copilots

Specialties:

• AI System Design

• Nvidia CUDA/HPC, Intel OpenVINO/OneAPI ==> Do we really need Intel OpenVINO?

• AI Model Performance Optimization

• Responsible AI

Cloud AI Platforms:

• AWS Bedrock, GCP Vertex AI, Azure OpenAI, IBM Watsonx ==> Getting all in one person is extremely difficult. We can go for any one or two max.

Top AI Models:

• Llama, Gemini, GPT, Claude

Qualifications:

• Bachelor’s/Master’s in Computer Science, AI/ML, or related field

• Proven experience in architecting enterprise-scale AI solutions

• Strong leadership and communication skills