Generative AI Solution Architect | Remote

  • Posted 1 day ago | Updated 1 hour ago

Overview

Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Long Term

Skills

Jenkins
DevOps
GitHub
docker
Governance
Backend
Amazon Web Services
Kubernetes
Microsoft Azure
Databases
elk stack
Cloud Computing
Information technology
Google Cloud
Continuous Integration
Artificial intelligence
Grafana
Communication Skills
Self motivation
Interpersonal Skills
problem solving
BUSINESS PROCESS IMPROVEMENT
DATA PROTECTION
INFRASTRUCTURE MANAGEMENT
software engineering
FastAPI
Containerisation
access controls
Generative AI
Coordination Skills
Application Programming Interfaces (APIs)
Front End Software Development
Team Working
Enterprise Software Applications
Success Driven Person
Creating Prototypes
Prompt Engineering
HuggingFace
Large Language Models
Full Stack Development
Gitlab-ci
Flask (Web Framework)
Ethics
Offshore Work
Data Logging
Delivery Pipeline

Job Details

Hi Everyone,

Greetings!!

We have an immediate opening for Generative AI Solution Architect & Agentic Systems Consultant | Remote. Please go through the requirement and reply with your updated profile, contact details, and your availability if you would be interested in it.

Job Title: Generative AI Solution Architect & Agentic Systems Consultant

Location: Remote

Duration: Long Term

Note: We are looking for Solution Architect, Who is very strong in Gen AI, LangChain, CrewAI, RAG, Python (FastAPI, Flask) or Node.js.

Job Description:

We are seeking a hands-on Generative AI & Agentic Systems Consultant with proven experience in building and deploying production-grade Gen AI systems, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI prototypes. This role requires strong full-stack engineering skills, deep AI/ML expertise, and the ability to collaborate effectively across global teams.

Key Responsibilities:

AI System Development

  • Design and implement RAG-based Gen AI solutions using LLMs and vector databases, with successful deployment in production environments.
  • Build agentic AI prototypes using frameworks like LangChain, CrewAI, or custom orchestration tools.
  • Fine-tune and optimize LLMs for domain-specific tasks and enterprise use cases.

Full-Stack Engineering

  • Develop intuitive front-end interfaces using React, Next.js, and TypeScript.
  • Build robust back-end services and APIs using Python (FastAPI, Flask) or Node.js.
  • Integrate Gen AI capabilities into enterprise applications and workflows.

Infrastructure & Deployment

  • Deploy AI systems on cloud platforms (Azure, AWS, Google Cloud Platform) using Docker, Kubernetes, and CI/CD pipelines.
  • Implement monitoring, logging, and feedback loops for continuous improvement and reliability.

Security & Governance

  • Apply best practices for prompt safety, content moderation, and access control.
  • Ensure compliance with data privacy regulations and ethical AI standards.

Collaboration & Enablement

  • Work closely with cross-functional teams including product managers, data scientists, and software engineers.
  • Coordinate effectively with offshore and distributed teams, managing time zone differences and ensuring smooth collaboration.
  • Mentor junior developers and contribute to internal knowledge sharing and capability building.

Technical Stack & Skills:

AI/ML & Agentic Systems

  • LLMs & APIs: OpenAI, Anthropic, Mistral, Hugging Face Transformers
  • Agent Frameworks: LangChain, CrewAI, AutoGPT, Semantic Kernel
  • Vector Databases: FAISS, Pinecone, Weaviate, Chroma
  • RAG & Embeddings: OpenAI Embeddings, Cohere, SentenceTransformers
  • Model Hosting: Hugging Face Spaces, Replicate, Modal, Vercel AI SDK

Full-Stack Development

  • Frontend: React, Next.js, Tailwind CSS, TypeScript
  • Backend: Python (FastAPI, Flask), Node.js, Express
  • Databases: PostgreSQL, MongoDB, Redis
  • Authentication: OAuth2, JWT, Auth0

DevOps & Cloud

  • Cloud Platforms: Azure, AWS, Google Cloud Platform
  • Containerization: Docker, Kubernetes
  • CI/CD: GitHub Actions, GitLab CI, Jenkins
  • Monitoring: Prometheus, Grafana, ELK Stack

Other Tools

  • Git, VS Code, Jupyter, Postman, LangSmith, Gradio, Streamlit

Soft Skills & Collaboration:

  • Excellent communication skills to bridge technical and non-technical teams.
  • Strong interpersonal skills for working in agile, cross-functional environments.
  • Experience in offshore team coordination, including managing handoffs, aligning priorities, and ensuring delivery quality.
  • Proactive problem-solving mindset with a focus on business impact.
  • Ability to mentor and upskill team members in Gen AI technologies.

Required Qualifications:

  • Bachelor's or Master's in Computer Science, AI/ML, or related field.
  • 6+ years of experience in software engineering and AI/ML development.
  • Proven experience building and deploying Gen AI applications end-to-end.
  • Strong understanding of prompt engineering, model fine-tuning, and evaluation.

Preferred Qualifications:

  • Experience with multimodal AI (text, image, audio).
  • Familiarity with enterprise-grade AI deployments and governance.
  • Contributions to open-source AI projects or technical publications.

Thanks & Regards

Ravinder Molugu

E-mail:

Vivid Soft Global Inc.

HQ: 6000 Venture Dr,

Ste C-D, Dublin, Ohio 43017

View Here!

USA . Canada . Mexico . Costa Rica

UK . Ireland . Poland . India

Vivid Soft Global is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law. To unsubscribe from this mailing, please reply to this email with the word UNSUBSCRIBE in the subject line, or click here .

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