Senior AI Solutions Engineer

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.

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