Senior GenAI Architect
S&P GlobalAbout the role
Application Senior GenAI Architect
Location: NYC / NJC – Hybrid
Client: S&P Global
Salary: $170K
FTE
Visa independent only
Job Description
We are looking for a Senior GenAI Architect with strong expertise in Data Engineering, Analytics, Generative AI, and Agentic AI workflows. The candidate will design and build scalable AI-driven solutions that leverage enterprise data, LLMs, RAG, and agent-based architectures.
Key Responsibilities:
Design and develop GenAI and Agentic AI applications using Python and modern AI frameworks.
Build scalable data pipelines, data processing, and analytics solutions.
Develop LLM/RAG-based applications integrating enterprise data sources.
Design and implement agentic workflows, AI agents, orchestration, and tool integrations.
Work with structured and unstructured data to support AI and analytics use cases.
Integrate LLMs with APIs, databases, knowledge sources, and enterprise platforms.
Implement evaluation, monitoring, security, and governance for GenAI solutions.
Collaborate with Data Engineers, Data Scientists, Architects, and business stakeholders.
Drive solutions from POC/prototype through production deployment.
Must-Have Skills
15+ years of software/data engineering experience
Strong Python
Generative AI / LLM / RAG
Agentic AI / AI Agents / Agent Orchestration
Strong Data Engineering & Analytics
SQL and modern data platforms
Experience with APIs, microservices, and cloud platforms
Experience with LLM frameworks such as LangChain, LangGraph, or similar
Strong understanding of AI architecture, data architecture, and enterprise integration
Excellent communication and stakeholder management skills
Responsibilities
- Design and develop GenAI and Agentic AI applications using Python and modern AI frameworks
- Build scalable data pipelines, data processing, and analytics solutions
- Develop LLM/RAG-based applications integrating enterprise data sources
- Design and implement agentic workflows, AI agents, orchestration, and tool integrations
- Work with structured and unstructured data to support AI and analytics use cases
- Integrate LLMs with APIs, databases, knowledge sources, and enterprise platforms
- Implement evaluation, monitoring, security, and governance for GenAI solutions
- Collaborate with Data Engineers, Data Scientists, Architects, and business stakeholders
Qualifications
- 15+ years of software/data engineering experience
- Strong Python skills
- Experience with Generative AI, LLM, RAG
- Knowledge of Agentic AI, AI Agents, and Agent Orchestration
- Strong Data Engineering & Analytics skills
- Proficiency in SQL and modern data platforms
- Experience with APIs, microservices, and cloud platforms
- Familiarity with LLM frameworks such as LangChain, LangGraph, or similar
Skills mentioned
About S&P Global
Hallmark Global Solutions is established in the year 2002, Hallmark Global Solutions has an exceptional track record of transcending the core operations of its clients and helping them meet their ever-evolving market needs. We offer comprehensive and personalized solutions to our clients, who are IT companies, Retailers, Healthcare Technology providers, Industries ranging from Automobiles, Insurance Services, Retail Services, the Transportation industry, Banking and Finance, and Healthcare. Hallmark Global Solutions has also made considerable strides in providing consultancy and advocacy services to its clients by fulfilling their staffing and Human Resource Management requirements. The core strength of Hallmark Global lies in its ability to adapt to fast-emerging markets and consumer behavior that pose both challenges and opportunities.