AgileGrid Solutions
Lead AI Engineer
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About The Company
Kainos is a leading digital services company dedicated to transforming how organizations leverage technology to achieve their goals. With a strong focus on innovation, quality, and customer satisfaction, Kainos delivers cutting-edge solutions across various industries, including healthcare, government, and financial services. The company's expertise spans cloud computing, enterprise software development, and digital transformation, making it a trusted partner for organizations seeking to modernize their operations. Kainos prides itself on fostering a collaborative and inclusive work environment that encourages continuous learning, creativity, and professional growth. Through its commitment to excellence and innovation, Kainos aims to create impactful solutions that drive real-world change and empower its clients to succeed in a rapidly evolving digital landscape.
About The Role
We are seeking a talented and experienced Lead AI Engineer to join our Workday Practice at Kainos. In this pivotal role, you will act as a bridge between data science and software engineering, focusing on productionizing artificial intelligence and machine learning solutions. Your primary responsibility will be to work closely with data scientists, software developers, and product teams to design, develop, and deploy scalable, reliable AI models that enhance our Workday product offerings. You will ensure seamless integration of AI solutions into existing systems, optimize performance, and maintain the stability of AI-driven features. This role offers an exciting opportunity to influence the future of enterprise AI applications, contribute to innovative projects, and work within a dynamic, forward-thinking team committed to excellence and technological advancement.
Qualifications
- Extensive experience in software development, with proficiency in programming languages such as Python, Java, or C++, emphasizing clean, efficient, and maintainable code for production environments.
- Proven track record in deploying AI and machine learning models to production, ensuring scalability, reliability, and high performance, with familiarity in MLOps practices including CI/CD pipelines, model versioning, and monitoring.
- Strong experience working with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio.
- Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes to manage scalable AI solutions effectively.
- Solid understanding of data engineering, including building data pipelines, data wrangling, and integrating AI models with enterprise data systems.
- Experience working within agile development environments, demonstrating flexibility and collaboration within cross-functional teams.
- Excellent communication skills, capable of translating complex technical requirements into actionable solutions and effectively engaging with both technical and non-technical stakeholders.
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Responsibilities
- Design, develop, and deploy scalable AI and machine learning models tailored to business needs, ensuring their seamless integration into existing enterprise systems.
- Collaborate closely with data scientists to understand model requirements and translate research prototypes into production-ready solutions.
- Implement and maintain MLOps practices, including continuous integration, deployment, and monitoring of AI models to ensure optimal performance and reliability.
- Manage cloud-based AI solutions, leveraging services such as AWS SageMaker, Azure ML, or GCP Vertex AI, to build scalable and efficient AI workflows.
- Develop and maintain data pipelines, ensuring data quality, security, and compliance, to support AI initiatives.
- Optimize AI models for performance, scalability, and robustness, addressing challenges related to deployment in enterprise environments.
- Participate in agile development cycles, contributing to sprint planning, reviews, and retrospectives, and ensuring timely delivery of AI features.
- Communicate technical concepts effectively to stakeholders, providing insights and recommendations to inform decision-making.
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Benefits
Kainos offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. This includes competitive salary packages, flexible working arrangements, and opportunities for continuous learning and development. Employees have access to health and wellness programs, including medical insurance, mental health support, and wellness initiatives. We promote a healthy work-life balance through generous leave policies and flexible scheduling. Additionally, team members benefit from a collaborative environment that encourages innovation, mentorship, and career advancement. Kainos also invests in cutting-edge technology and tools to ensure employees can work effectively and stay at the forefront of industry developments.
Equal Opportunity
Kainos is committed to fostering an inclusive and diverse workplace where everyone is valued and respected. We believe that a diverse team enhances creativity, innovation, and overall performance. We are an equal opportunity employer and do not discriminate based on age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic protected by law. We actively seek to create a welcoming environment for all candidates and employees, ensuring fair treatment throughout the recruitment and employment processes. Our commitment to diversity and inclusion is integral to our mission of creating impactful solutions and making a positive difference in the communities we serve.
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