As a Senior AI Architect, you will play a pivotal role in developing and implementing our enterprise AI strategy. You will be responsible for designing and delivering sophisticated AI solutions, high-quality enterprise tools, and platforms. Your focus will be on integrating foundational models and orchestrating intelligent agents to effectively address business requirements while simultaneously enhancing operational efficiency. ESSENTIAL DUTIES AND RESPONSIBILITIES: Architect & Deploy AI Solutions:
- Design scalable solutions using Generative AI (LLMs, multi-modal models) and Agentic AI (multi-agent systems, autonomous orchestration).
- Build scalable applications and AI/ML pipelines using cloud native platforms like AWS Bedrock, Azure AI Studio/Foundry, or similar enterprise-grade platforms and open-source frameworks.
- Leverage APIs, orchestration frameworks, and cloud-native services to operationalize AI at scale.
- Ensure AI solutions comply with GxP, HIPAA, and other regulatory standards.
Drive AI Strategy:
- Define architectural patterns and reference implementations for cross-functional AI use cases
- Establish the frameworks necessary for the effective development and deployment of fair, transparent, and ethical AI-based solutions
- Collaborate with Business, IT Domains, and platform teams to align AI architecture with cloud and data infrastructure.
- Promote ethical, explainable, and bias-aware AI design principles.
- Defining and tracking performance metrics to measure the success and impact of AI solutions on business outcomes.
Innovation & Exploration:
- Evaluate emerging Generative AI tools, including open-source and proprietary LLMs, for use cases like document processing, report generation, and scenario simulation.
- Prototype solutions by leveraging tools like LangChain, PromptFlow, Semantic Kernel, vector databases, and agent frameworks.
- Staying updated with the latest advancements in AI and ML technologies and methodologies
EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education:
- Bachelor's degree in related discipline and ten years of related experience; or
- Master's degree in related discipline and seven years of related experience; or
- Equivalent combination of education and experience.
Experience/The Ideal Candidate will have:
- 5+ years in AI/ML solution development, with at least 3+ years in architecture roles.
- Experience architecting and deploying GenAI and/or Agentic AI solutions on AWS Bedrock, Azure AI Foundry, Google Vertex AI, or similar.
- Deep knowledge of LLMs, prompt engineering, RAG, agent orchestration, and generative pipelines.
- Hands-on experience with tools like Hugging Face, OpenAI, Anthropic, LangChain, Pinecone, Weaviate.
- Solid experience with Python, REST APIs, cloud-native services, and modern ML/AI toolkits.
- Experience in life sciences, biotech, pharma, or healthcare domains.
- Demonstrated ability to work effectively with cross-functional teams, including infrastructure, security, and other business or IT teams
Knowledge/Skills:
- Ability to multitask, work collaboratively across a matrix organization, and ensure flexibility in a dynamic corporate and team environment
- Ability to leverage both internal and external resources to expedite and deliver projects
- Strong problem-solving skills, with the ability to translate business challenges into AI solutions.
- Familiarity with regulatory documentation, FAIR data principles, and data interoperability in life sciences.
- Strong verbal and written communications skills, ability to quickly master new systems and/or processes, capacity to stay organized while managing competing priorities
- Ability to thoroughly understand complex business and technical issues and influence decision making at all levels of the organization without a formal reporting structure or authority
WORKING CONDITIONS:
- Environment: primarily working in an office environment
#LI-EZ1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $174,000 - $248,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors.
In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.
DISCLAIMER
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
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Exelixis
paid holidays, sick time, 401(k)
Jun 06, 2025