AI Solutions Architect

Full Description

Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking a talented and visionary AI Solutions Architect.

This role is instrumental in designing, developing, and implementing sophisticated AI-driven solutions that address complex business challenges.

The position is based in Umuahia, Abia, NG, offering a hybrid work arrangement that balances collaborative on-site work with remote flexibility.

Responsibilities: Design and architect end-to-end AI solutions, including machine learning models, data pipelines, and deployment strategies.

Collaborate with business stakeholders and data scientists to understand requirements and translate them into technical specifications.

Evaluate and select appropriate AI/ML technologies, frameworks, and platforms for specific project needs.

Develop proof-of-concepts (PoCs) and prototypes to demonstrate the feasibility and value of AI solutions.

Oversee the implementation and integration of AI models into existing systems and workflows.

Ensure the scalability, reliability, and performance of AI solutions in production environments.

Provide technical leadership and guidance to development teams throughout the project lifecycle.

Stay abreast of the latest advancements in AI, machine learning, deep learning, and related technologies.

Identify opportunities for leveraging AI to solve business problems and drive innovation.

Develop technical documentation, architectural diagrams, and best practice guidelines.

Contribute to the company's AI strategy and roadmap. Assess and mitigate risks associated with AI solution development and deployment.

Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.

Minimum of 6 years of experience in designing and implementing AI/ML solutions.

Proven expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI platforms.

Strong programming skills in languages such as Python, R, or Java.

Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.

Solid understanding of data engineering, data warehousing, and big data technologies.

Excellent analytical, problem-solving, and critical-thinking skills.

Strong communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Experience in MLOps and deploying AI models into production environments.

Familiarity with emerging AI technologies and trends.

Ability to work effectively in a collaborative, fast-paced environment.

This role offers a competitive salary, comprehensive benefits, and the opportunity to work on groundbreaking AI projects.

If you are passionate about pushing the boundaries of artificial intelligence, we want to hear from you.