Artificial Intelligence Engineer

Veritis Group Inc

8 years

0 Lacs

hyderabad telangana india

Posted:1 day ago| Platform:

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Skills Required

devops ai cutting design ml architecture data governance security compliance leadership model deployment scalability research automation drive aws azure microservices integration vision communication engagement certifications

Work Mode

On-site

Job Type

Full Time

Job Description

About Veritis

DevOps, AI, and ML

About the Role

visionary Associate Architect – AI

Key Responsibilities

Design and implement
AI enterprise architecture strategies
aligned with business goals.
Define the AI roadmap, architectural frameworks, and best practices.
Collaborate with
data scientists, engineers, and business leaders
on cross-functional AI initiatives.
Evaluate and recommend the latest AI tools, platforms, and technologies.
Integrate AI solutions with existing enterprise systems and infrastructure.
Establish
AI governance models
, security protocols, and compliance standards.
Provide technical leadership in AI
model deployment, scalability, and performance tuning
.
Stay current with emerging AI trends, research, and regulatory developments.
Guide teams in building
AI-powered products, automation tools
, and intelligent workflows.
Drive
AI-led digital transformation
across multiple business units.

Qualifications

Bachelor’s/Master’s in Computer Science, AI, Data Science, or a related field.
6–8 years of experience in AI solution architecture or enterprise AI design.
Expertise in AI/ML frameworks and cloud platforms (
AWS, Azure, GCP
).
Solid understanding of AI governance, model lifecycle, and responsible AI practices.
Experience with
microservices, APIs
, and enterprise integration patterns.
Proficiency in AI/ML domains like
NLP, computer vision, predictive analytics
.
Familiarity with
DevOps/MLOps
, CI/CD, and deployment automation.
Strong communication and stakeholder engagement skills.
Certifications such as
TOGAF
, AWS/Azure AI are a plus.

Preferred Skills

Proven experience architecting AI solutions at
enterprise scale
.
Strong analytical mindset and
data-driven decision-making
.
Knowledge of
AI ethics
, fairness, and bias mitigation techniques.

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