Agentic AI Solutions Architect
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Senior Agentic AI Solutions Architect
Location: New York City NY Local Only -Hybrid Role
FTE role with Mphasis
Salary: $150-160K plus Benefits
Job Description: Were seeking a hands-on AI architect/engineer and leader to design build and deliver agentic AI systems for complex financial workflows. This role combines deep technical execution with strategic communication-youll code prototype and lead conversations with senior stakeholders.
What Youll Do:
Architect and implement multi-agent orchestration for investment risk and compliance workflows.
Build LLM-powered pipelines with advanced RAG tool routing and orchestration graphs.
Develop Python-based microservices using LangChain Hugging Face PyTorch FastAPI.
Integrate with financial data sources (Bloomberg Refinitiv) and risk engines.
Implement trust safety and compliance guardrails for regulated environments.
Lead client workshops executive briefings and solution roadmaps-translate technical complexity into business clarity.
Must-Have:
Expert in Python frameworks LLMOps/MLOps and cloud-native deployment.
Strong knowledge of financial instruments risk modeling and regulatory controls.
Proven ability to ship complex AI systems end-to-end and communicate with leadership.
Location: New York City NY Local Only -Hybrid Role
FTE role with Mphasis
Salary: $150-160K plus Benefits
Job Description: Were seeking a hands-on AI architect/engineer and leader to design build and deliver agentic AI systems for complex financial workflows. This role combines deep technical execution with strategic communication-youll code prototype and lead conversations with senior stakeholders.
What Youll Do:
Architect and implement multi-agent orchestration for investment risk and compliance workflows.
Build LLM-powered pipelines with advanced RAG tool routing and orchestration graphs.
Develop Python-based microservices using LangChain Hugging Face PyTorch FastAPI.
Integrate with financial data sources (Bloomberg Refinitiv) and risk engines.
Implement trust safety and compliance guardrails for regulated environments.
Lead client workshops executive briefings and solution roadmaps-translate technical complexity into business clarity.
Must-Have:
Expert in Python frameworks LLMOps/MLOps and cloud-native deployment.
Strong knowledge of financial instruments risk modeling and regulatory controls.
Proven ability to ship complex AI systems end-to-end and communicate with leadership.
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
