Artificial Intelligence Engineer

About Veritis

Veritis is a pioneering

DevOps, AI, and ML

company committed to delivering

cutting-edge, AI-driven enterprise solutions . Our mission is to leverage artificial intelligence to enable business transformation through intelligent, scalable, and secure systems.

About the Role

We are seeking a

visionary Associate Architect – AI

to design and lead the implementation of enterprise-scale AI solutions. This is a key role where innovation meets impact—ideal for someone with a strong foundation in AI / ML, cloud technologies, and enterprise architecture.

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.