Senior AWS Solutions Architect

# Senior AWS Solutions / AI Architect ## Company Overview *Company information is not specified.* ## Job Summary We are seeking a highly skilled **Senior AWS Solutions / AI Architect** to lead the design and implementation of advanced agentic AI solutions within cloud environments, specifically leveraging AWS services. The ideal candidate will combine deep technical expertise in AI/ML, cloud-native architectures, and healthcare domain experience to deliver scalable, compliant, and innovative solutions that drive business outcomes. ## Responsibilities - Architect and lead the design of agentic AI systems utilizing AWS services such as **Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch**, and **DynamoDB**. - Design and implement multi-agent orchestration frameworks for clinical data workflows, including source verification, discrepancy resolution, and data integration. - Evaluate architectural trade-offs between **LLM-based reasoning**, rules engines, and hybrid AI solutions to determine the best approach per use case. - Provide thought leadership in healthcare and Life Sciences AI solutions, ensuring compliance with relevant regulatory frameworks. - Mentor and guide **AI engineers, developers**, and **DevOps teams** on best practices for building agent-based architectures. - Collaborate closely with clinical **Subject Matter Experts (SMEs)**, compliance teams, and project sponsors to ensure that technical solutions align with strategic business objectives. ## Qualifications - **Education**: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD is a strong advantage). - **Experience**: 8–12 years of industry experience in **AI/ML engineering**, including 3–5 years focused on cloud-native AI architecture and solution design. - **Technical Skills**: - Hands-on experience with **AWS AI services**: Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, and Lex. - Strong knowledge of **agentic AI frameworks** such as LangChain, LlamaIndex, Haystack, CrewAI, or AutoGen. - Proven expertise in **workflow orchestration tools** like AWS Step Functions, Apache Airflow, or Temporal. - Deep understanding of **multi-agent pipeline design, data processing**, and automation in regulated environments. - Demonstrated experience in delivering AI solutions for **healthcare** and **Life Sciences** domains, with a strong focus on regulatory compliance. - Excellent **leadership skills**, with the ability to influence stakeholders, provide technical governance, and deliver high-impact solutions. ## Preferred Skills - Strong problem-solving aptitude with an analytical mindset. - Effective communication skills, both written and verbal, especially when engaging with cross-functional teams. ## Experience - 8–12 years of industry experience in AI/ML engineering; 3–5 years in cloud-native AI architecture and solution design. ## Environment *Work setting and location are not specified.* ## Salary *Salary information is not specified.* ## Growth Opportunities *Potential career advancement opportunities are not specified.* ## Benefits *Benefits information is not provided.*