2 open positions available
Design, implement, and optimize scalable AI systems on Google Cloud Platform for healthcare, lead AI agent development, and collaborate cross-functionally to deliver compliant AI solutions. | Must have hands-on experience with Google Cloud Platform AI architecture, healthcare AI agent development, and knowledge of modern AI frameworks and healthcare data standards. | Google Cloud Platform AI Architect - Health Tech (Agentic AI & Next-Gen AI Tech) Location: 100% Remote Duration: Long term Contract / Contract to Hire MUST HAVES: Will be building AI applications on Google Cloud Platform platform. Team is building a "Primary Care Physician AI Assistant Must have prior Google Cloud Platform + AI Architecture experience. Architect will be very 'hands-on' with architecture, coding support, guidance Overview This position offers an exciting opportunity to pioneer agentic AI and next-generation intelligent systems for the health tech domain. You will help transform patient experiences, clinical workflows, and healthcare delivery through advanced Google Cloud Platform-powered solutions. Key Responsibilities Architect Advanced Health AI Solutions: Design, implement, and optimize compliant, scalable, and efficient AI systems on Google Cloud Platform for health tech use cases, utilizing Google Cloud Platform technologies like Vertex AI, BigQuery, Dataflow, and Looker to support clinical analytics, decision support, and workflow automation. AI Agent Expertise in Healthcare: Build and lead autonomous AI agents capable of supporting diagnosis, predictive analytics, personalized medicine, interoperability, and patient engagement using state-of-the-art LLMs and multi-agent architectures. Agentic AI Solution Delivery in Health Tech: Develop multi-node, agentic AI models to power healthcare applications (e.g., retrieval augmented generation for literature synthesis, semantic search in medical records, state graphs/agentic memory for patient histories, API orchestration across EHR and imaging systems). Innovate with New AI Tech Stacks: Employ modern AI libraries and frameworks (LangChain, LangGraph, Hugging Face) and integrate with cloud-native platforms, vector databases, and health data standards (FHIR, HL7). Cross-Functional Collaboration: As a leader in the data science team, engage with clinical, Product, IT, and business teams to scope requirements and deliver AI solutions aligned with healthcare objectives, regulatory standards, and patient safety priorities. Operationalize Healthcare AI/ML Models: Lead the deployment and monitoring of production-grade healthcare AI and ML models on Google Cloud Platform, validating clinical performance, reliability, and security.
Lead and manage project management practices including methodology development, training, risk management, portfolio oversight, and ensuring compliance within a financial crime and AML domain. | Significant project management experience with leadership, proficiency in project management tools, strong communication skills, and preferably a Master's degree or MBA. | Technical Project Manager 3 Days Hybrid to Hoboken, NJ Long Term Contract (More than a year) Domain: Financial Crime and Compliance / AML domain Technical PMs with Waterfall, Budgeting/ margin/ resource management. As a Project Manager, it is expected to lead and manage project management practices within an organization. This role involves establishing, maintaining, and improving project management standards, processes, and tools across the organization. Responsibilities: • Developing and Implementing Project Management Methodologies: This includes creating, updating, and maintaining project management frameworks, standards, and best practices. • Providing Training and Support: Offering guidance, training, and support to project managers and teams on project management methodologies, tools, and techniques. • Promoting Best Practices: Identifying, sharing, and promoting project management best practices across the organization. • Managing Project Portfolio: Overseeing the overall project portfolio, prioritizing projects, and optimizing resource allocation. • Risk Management: Developing and implementing risk management strategies and processes to minimize project risks. • Performance Measurement: Establishing metrics and reporting mechanisms to track project performance and identify areas for improvement. • Stakeholder Management: Building and maintaining strong relationships with stakeholders, ensuring clear communication, and managing expectations. • Continuous Improvement: Identify opportunities to improve project management processes and practices and driving continuous improvement initiatives. • Ensuring Compliance: Ensuring that projects comply with relevant organizational policies, procedures, and regulatory requirements. • Execution: Lead the team through the distinct, sequential phases of the Waterfall model (Requirements, Design, Implementation, Testing, Deployment, Maintenance) Qualifications: Experience: Significant experience in project management, with a proven track record of successfully delivering projects of varying complexity. Education: Master's degree or MBA preferred. Leadership Skills: Strong leadership, communication, and interpersonal skills are essential for effectively managing teams and stakeholders. Technical & Analytical Skills: Proficiency in project management software and tools, such as MS Project, Jira, or similar. Ability to analyze project data, identify trends, and develop solutions to address project challenges. Business Acumen: Understanding of business objectives and the ability to align project management with overall business goals including strong problem-solving and decision-making skills. Industry Knowledge: Experience working in Fintech is beneficial.
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