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Salary
≈ $27k – $47k per year (Estimated)
Location
Hybrid (Noida, Delhi, India)
Seniority
Staff · 12+ years exp

First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match
Ekfrazo Technologies is an IT services company based in Bengaluru that delivers enterprise AI, data engineering, ServiceNow, Salesforce and cloud automation work for large corporate clients. Operating since 2015, it runs delivery teams in Bengaluru, Hyderabad, Noida and Pune and staffs engineers into client development programs, including data platform and generative AI projects for European and North American customers. Its openings cover Azure and senior data engineers, Java, .NET and Python full stack developers, agentic AI developers, solutions architects, database administrators, QA leads and technical project and program managers.

About Scalence LLC :

Scalence LLC, an Artech LLC company, is a global technology, transformation, and managed services partner helping enterprises accelerate growth through Data Intelligence, Business Resilience, Digital Experience, and AI-enabled innovation.

Position Overview :

Practice : Data & Analytics and Agentic AI

Location : Noida/Delhi NCR

Work Mode : Remote with flexibility to work from office 2 - 3 days from office.

Role Summary :

We are seeking a highly technical Agentic AI Solutions Architect / Engineer with expertise in Data Platforms, Cloud Architecture, AI/ML Operations, Agentic AI implementation, pre-sales solutioning, client consulting, estimation and accelerator development.

Key Responsibilities :

- Forward Deployment Engineering & Client Solutioning

- Data Platform & AI Architecture

- Agentic AI & AI Enablement

- Pre-Sales, Estimation & Commercial Solutioning

- Practice Development & IP Creation

Core Technologies :

- Snowflake, Databricks, Microsoft Fabric, Azure Synapse, AWS Data Services

- OpenAI, Azure OpenAI, Claude, Gemini

- LangChain, LangGraph, Semantic Kernel, Vector Databases, RAG Architectures

Required Technical Skills :

- Python, SQL, PySpark, APIs & Microservices, Terraform, CI/CD, GitHub, Azure DevOps, Docker, Kubernetes, Data Governance, RBAC/IAM

Experience & Qualifications :

- 12 - 18 years overall industry experience including 8+ years in Data Engineering, Cloud Architecture, Analytics, AI/ML or Solution Architecture

- Bachelor's degree in Computer Science, Information Technology, or related discipline, or equivalent experience.

- Strong hands-on enterprise data platform implementation experience

- Client-facing consulting and pre-sales experience

- Experience with LOE estimation, staffing models and proposal development

- Experience working with business stakeholders and enterprise clients

Preferred Certifications :

- Microsoft Azure Solutions Architect Expert, Microsoft Fabric Analytics Engineer, Databricks Data Engineer Professional, SnowPro Advanced Architect, AWS Data Analytics Specialty, Azure AI Engineer Associate

Shared Competencies :

- Commercial solutioning mindset, Strong client presentation skills, Ability to develop reusable frameworks and accelerators, Proposal and SOW experience, Mentoring and leadership capability

Skills

Agentic AI, Solution Architect, Databricks, Python, LangChain, Snowflake DB, Artificial Intelligence, Solution Design, Machine Learning, OpenAI

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