AI Architect

E-Solutions • United State
Remote
Apply
AI Summary

Design and implement AI-driven enterprise solutions, lead AI strategy and program ownership, and ensure AI governance, risk, and compliance.

Key Highlights
Agentic AI Strategy & Program Ownership
Architecture & Solution Design
AI Governance, Risk & Compliance
Key Responsibilities
Agentic AI Strategy & Program Ownership
Architecture & Solution Design
AI Governance, Risk & Compliance
Leadership & Stakeholder Management
Technical Skills Required
Python NumPy Pandas Scikit-learn PyTorch TensorFlow Generative AI Agentic AI OpenAI LangChain Hugging Face LlamaIndex Web/API Development Flask FastAPI Django ML Lifecycle Training Deployment Monitoring Drift Management Data Engineering SQL Power BI Streamlit Cloud & MLOps AWS SageMaker Azure ML GCP AI Platform Git Docker CI/CD
Benefits & Perks
100% Remote
W2 Contract Role
Nice to Have
Telecom domain exposure including BSS/OSS or billing transformation
Experience with Amdocs, Netcracker, Comarch, or Ericsson
Understanding of TM Forum standards
Knowledge of 5G architecture & network slicing

Job Description


Job Role:- AI Architect

Employment Type:- 📍 W2 Contract Role -❌ No C2C / C2H / 1099

⚠️ Currently not accepting transfer cases or sponsorship-required profiles

Job Location :- EST USA - 100% Remote


Key Responsibilities

• Agentic AI Strategy & Program Ownership

• Architecture & Solution Design

• AI Governance, Risk & Compliance

• Leadership & Stakeholder Management


Required Experience & Skills

Experience

• 5+ years of experience in AI/ML development with strong Python-based solution delivery

• Strong experience designing and implementing AI-driven enterprise solutions

• Hands-on experience with Generative AI and Agentic AI frameworks/platforms

• Experience building scalable AI/ML applications and integrating AI models into enterprise environments

• Strong understanding of AI governance, model lifecycle management, compliance, and monitoring

• Experience collaborating with cross-functional teams and business stakeholders


Technical Skills

• Python: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow

• Generative AI & Agentic AI: OpenAI, LangChain, Hugging Face, LlamaIndex

• Web/API Development: Flask, FastAPI, Django

• ML Lifecycle: Training, deployment, monitoring, drift management

• Data Engineering: SQL, Pandas, Power BI, Streamlit

• Cloud & MLOps: AWS SageMaker, Azure ML, GCP AI Platform, Git, Docker, CI/CD


Nice to Have

• Telecom domain exposure including BSS/OSS or billing transformation

• Experience with Amdocs, Netcracker, Comarch, or Ericsson

• Understanding of TM Forum standards

• Knowledge of 5G architecture & network slicing


Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

• Certifications in AI/ML, Deep Learning, or Generative AI


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