Senior AI Solutions Engineer

Acenet; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

AceNet Consulting is seeking a Senior AI Solutions Engineer to design, develop, and deploy enterprise AI solutions. You will work with cross-functional teams to build scalable, secure, and high-performing AI applications in cloud environments.

The role emphasizes architecture governance, data pipelines, REST integrations, and collaboration with stakeholders. Proficiency in Python/Java/C++, Azure, Docker, Kubernetes, and AI frameworks is expected. Chennai-based, Tamil Nadu.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Engineering, or related field.
• 6-8 years of AI/ML experience and solution architecture.
• Strong programming in Python, Java, or C++.
• Hands-on with Microsoft Azure and AI cloud services.
• Experience with OpenAI APIs, LangChain, Hugging Face, Foundry.

Responsibilities

• Design, architect, and implement scalable AI/ML solutions for enterprise apps.
• Develop AI-powered apps using modern frameworks and cloud tech.
• Integrate AI with enterprise platforms, data lakes, APIs, and business apps.
• Collaborate with stakeholders to understand requirements and deliver AI solutions.
• Ensure scalability, security, reliability, and performance via governance and best practices.
• Design data pipelines supporting AI/ML workloads.
• Integrate AI models with systems using REST APIs and middleware.
• Leverage cloud platforms, containers, and DevOps for deployment.
• Mentor teams and contribute to architecture reviews and standards.
• Stay updated with emerging AI technologies and business transformation ideas.

Skills

Python

Java

C++

Azure

OpenAI APIs

LangChain

Hugging Face

Foundry

Docker

Kubernetes

REST APIs

Security

Education

Bachelor's or Master's in CS/CE/AI

Tools

Azure AI

Docker

Kubernetes

Job description

Job Summary

AceNet Consulting is looking for a highly skilled Senior AI Solutions Engineer with 6-8 years of experience in Artificial Intelligence, Machine Learning, and Solution Architecture. The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI solutions that address complex business challenges. You will work closely with cross-functional teams to build scalable, secure, and high-performing AI applications while ensuring adherence to architecture governance, coding standards, and best practices.

Key Responsibilities

• Design, architect, and implement scalable AI and Machine Learning solutions for enterprise applications.
• Develop AI-powered applications using modern AI frameworks and cloud technologies.
• Build and integrate AI solutions with enterprise platforms, data lakes, APIs, and business applications.
• Collaborate with business stakeholders, architects, data engineers, and development teams to understand requirements and deliver innovative AI solutions.
• Ensure solution scalability, security, reliability, and performance through architecture governance and technical best practices.
• Design and implement data pipelines supporting AI and Machine Learning workloads.
• Integrate AI models with enterprise systems using REST APIs and middleware technologies.
• Leverage cloud platforms, containerization, and DevOps practices for AI solution deployment.
• Mentor technical teams and contribute to architecture reviews, code quality, and engineering standards.
• Stay updated with emerging AI technologies and recommend innovative approaches for business transformation.

Required Skills

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
• 6-8 years of experience in AI, Machine Learning, and Solution Architecture.
• Strong programming expertise in Python, Java, or C++.
• Hands-on experience with Microsoft Azure and AI cloud services.
• Experience with OpenAI APIs, LangChain, Hugging Face, and Foundry.
• Strong understanding of Machine Learning algorithms, Deep Learning, data processing, and enterprise AI solutions.
• Experience with Docker, Kubernetes, cloud infrastructure, and DevOps practices.
• Knowledge of data architecture, ETL pipelines, Microsoft Fabric/Data Lakehouse concepts, and enterprise data integration.
• Experience integrating AI solutions with Salesforce CRM, CMS platforms, data lakes, and RESTful APIs.
• Strong understanding of AI security, governance, privacy, and architecture best practices.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Good to Have

• Experience with Reinforcement Learning, Natural Language Processing (NLP), or Computer Vision.
• Knowledge of AI ethics, responsible AI, and bias mitigation strategies.
• Experience working on enterprise-scale digital transformation initiatives.
• Leadership experience mentoring technical teams and driving architectural decisions.

Why Join Us

• Opportunities to work on transformative AI and Generative AI projects with leading global organizations.
• Continuous investment in learning, upskilling, and professional development.
• Collaborative work environment with experienced technology professionals.
• Competitive compensation and comprehensive employee benefits.
• A culture that encourages innovation, ownership, and career growth.