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Innovation AI Architect

Aasritha infotech IncWashington, DC🇺🇸United StatesPosted 15 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Washington, DC, United States
Posted
18 hours ago
Data Pipeline

Job Description

Technical Skills:

Skill

Years/Level of Experience

AI Architecture

10+ years

Data Architecture Development

10+ years

 

Role Description: 

As a Data Architect, you will play a pivotal role in designing and implementing advanced data and AI architectures tailored to address complex business challenges. You will be responsible for developing sophisticated models and algorithms that leverage deep decision science, ensuring solutions are both innovative and aligned with specific industry or functional needs. Your expertise will be crucial in architecting and delivering end-to-end solutions, utilizing a blend of open-source modules, industry-specific technologies, and cutting-edge platforms or software to maximize business value.

Exposure to tools such as cloud-based data platforms, AI frameworks, and data modeling software will be highly beneficial in this position. Familiarity with processes like data pipeline development, algorithm optimization, and ethical data governance will your ability to guide the strategic application of insights derived from data. Experience in supporting the sales process for Data & AI projects, particularly those focused on industry or function-specific requirements, will help you excel in collaborating with stakeholders and driving successful project outcomes.

Responsibilities:

·         Develop advanced models and algorithms leveraging deep decision science and industry/function orientation to address complex business challenges.

·         Architect and deliver end-to-end solutions utilizing Data & AI strategies, open-source modules, and industry/function-specific technologies, platforms, or software.

·         Guide the strategic and ethical application of insights derived from data to ensure responsible and impactful business outcomes.

·         Collaborate with cross-functional teams to design and implement robust data architectures that support organizational goals.

·         Support the sales process by providing expertise in industry/function-focused Data & AI projects, including solution design and technical presentations.

Stay current with emerging trends in AI architecture and data architecture development to continuously enhance solution offerings.

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