Solutions Architect

Job Family:
Data Science & Analysis (India)

Travel Required:
None

Clearance Required:
None
What You Will Do:

- Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance.
- Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings.
- Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance.
- Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation.
- Ensure all AI solutions adhere to industry standards and regulatory requirements (i.e., HIPAA).
- Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures.
- Provide technical guidance and mentorship to junior AI engineers and team members.
- Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development.
- Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases.
- Implement robust security protocols to protect sensitive data from breaches and unauthorized access.

What You Will Need:

- Bachelors or master’s in computer science, Artificial Intelligence, Machine Learning, or a related field.
- 10+ year industry experience with minimum of 5 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models.
- Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
- Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.).
- Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors.
- Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment.
- Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus.
- Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models.
- Delivered a minimum of 3 to 5 AI/LLM medium to large scale projects of significant value.

What Would Be Nice to Have:

- Experience with federated learning and privacy-preserving AI techniques.
- Familiarity with synthetic data generation for healthcare model training.
- Knowledge of healthcare is added advantage.
- Experience integrating AI with existing solutions.
- Experience working in regulated environments and with audit-ready documentation practices.
- Ability to evaluate and select GenAI models based on performance, cost, and compliance factors.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.