What are the responsibilities and job description for the AI Architect AWS Bedrock ( Life Sciences) position at Synkriom?
AI / GenAI Architecture
- Design and implement GenAI-powered solutions using:
- AWS Bedrock (foundation models, agents, RAG architectures)
- Databricks Lakehouse & Genie (semantic layer, AI-assisted querying)
- Enterprise Copilot solutions integrated into business workflows
- Define reference architectures for:
- Conversational analytics platforms
- Intelligent commercial insights assistants
- Automated reporting and summarization
- Next-best-action and recommendation engines
Data & Platform Engineering
- Architect end-to-end data pipelines integrating:
- IQVIA data (Xponent, LAAD, etc.)
- Symphony datasets
- Patient and claims data (open & closed claims)
- Veeva CRM data
- Digital marketing and engagement platforms
- Enable data harmonization, semantic modeling, and AI-ready datasets
- Leverage Databricks (Delta Lake, Spark) and AWS-native services
Advanced Analytics & AI Use Cases
- Drive high-value use cases such as:
- HCP targeting, segmentation, and profiling
- Omnichannel engagement optimization
- Sales force effectiveness analytics
- Patient journey and adherence insights
- Market access and payer analytics
- Develop RAG-based solutions combining structured and unstructured data
- Build AI copilots for business users (brand teams, field force, market access)
Governance, Security, and Compliance
- Ensure compliance with:
- HIPAA and global data privacy regulations
- Implement Responsible AI practices
- Define data security, lineage, and access governance frameworks
Stakeholder Engagement
- Collaborate with:
- Commercial stakeholders (Sales, Marketing, Market Access)
- Data engineering and analytics teams
- Enterprise architecture teams
- Translate business needs into AI solution roadmaps and architectures
- Support solutioning, proposals, and client engagements
Required Qualifications
Experience
- 10–15 years in data, analytics, or AI architecture
- 5 years in Life Sciences Commercial domain
- Hands-on experience with:
- IQVIA, Symphony, Claims and Patient datasets
- Veeva CRM and commercial data ecosystems
Technical Skills
- AI/GenAI Platforms:
- AWS Bedrock (mandatory)
- Databricks (Lakehouse, ML, Genie)
- Enterprise Copilot frameworks
- Programming:
- Python, PySpark, SQL
- AI Techniques:
- LLMs, RAG architectures, embeddings, vector search
- NLP and conversational AI systems
- Cloud:
- Strong expertise in AWS ecosystem
Architecture Expertise
- Enterprise AI architecture design
- Data modeling (semantic layers, ontologies)
- API-based integration and scalable microservices design
Preferred Qualifications
- Experience building AI copilots or conversational assistants at scale
- Familiarity with:
- Salesforce Data Cloud / Data 360
- Digital marketing platforms
- Experience with LLMOps / MLOps frameworks
- Knowledge of patient analytics and real-world data (RWD/RWE)
Leadership & Soft Skills
- Strong executive communication skills
- Ability to influence cross-functional stakeholders
- Experience leading architecture reviews and governance forums
- Outcome-driven mindset focused on business impact
Key Deliverables
- AI/GenAI architecture blueprints
- Production-grade AI solutions
- Commercial AI use case roadmap
- Reusable accelerators (RAG pipelines, copilots, semantic layers)
Founded in 2015 and backed by two decades of hands-on experience, our strong insight on the enterprise ecosystem and its dynamics helps to offer a complete end-to-end solution. We automate recruitment processes with intelligent solutions to save time and money. Synkriom leads the industry with experience authentication of candidates.
Salary : $65 - $85