Solutions Architect

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Generative Artificial Intelligence (AI)
Video
Management
Collaboration
Mentorship
Prompt Engineering
API
LangChain
Use Cases
Artificial Intelligence
Mapping
Agile
Scrum
Privacy
Access Control
Professional Services
Business Intelligence
Data Analysis
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Stakeholder Management
Cloud Computing
Analytics
Project Delivery
SANS

Job Details

Solution Architect (GenAI)

Edison, NJ, Hybrid (2-3 days onsite)


Interview Process: 2 rounds (1 Teams Video and 1 Onsite)



The objective is to provide architectural solutions and oversight for business intelligence and data analysis across the Professional Services portfolio.



Key Responsibilities:-

  • Design and oversee the implementation of high-level architectural solutions. - Collaborate with cross-functional teams to ensure alignment with business goals. - Lead business intelligence and data analysis initiatives.
  • Evaluate and recommend technology tools and platforms. - Ensure adherence to project timelines and deliverables.
  • Provide technical guidance and mentorship to the project team.

skills:

  • Understanding of LLMs, RAG, and AI Agents
  • Basic prompt engineering
  • Familiarity with OpenAI API, LangChain, HuggingFace Transformers, Vector DBs (e.g., FAISS, Pinecone)
  • Use case validation for AI applications
  • Ability to conduct AI capability mapping
  • Agile/Scrum methodology
  • Clear communication of model constraints & behaviors
  • Awareness of data privacy, PII/PHI handling, and access control mechanisms"

Required Skills and Experience:-

- Proven experience as a Solution Architect in Professional Services environments.

- Expertise in Business Intelligence and Data Analysis. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities.

- Familiarity with either cloud-based analytics platforms or enterprise-scale data solutions. - Understanding of project delivery frameworks and methodologies.

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