AI Solutions Architect
3 days ago
We are seeking a strategic and hands-on
AI Solutions Architect & Developer
to lead the design, development, and deployment of AI-driven solutions for clients across industries. This role combines deep technical expertise with business acumen to deliver innovative, scalable, and ethical AI applications that solve complex challenges.
Key Responsibilities
- Architect and implement
end-to-end AI solutions
, from ideation to production, tailored to client-specific business needs. - Develop and maintain a portfolio of
AI prototypes and accelerators
that demonstrate practical applications of emerging technologies. - Collaborate with cross-functional teams—including data scientists, engineers, and business stakeholders—to ensure seamless integration of AI models into enterprise systems.
- Lead client engagements, translating business requirements into technical specifications and actionable AI strategies.
- Promote
AI governance best practices
, including ethical use, transparency, and risk mitigation. - Stay current with advancements in AI, machine learning, and generative technologies, identifying opportunities for innovation.
- Mentor junior team members and contribute to internal capability development through training and knowledge sharing.
- Support business development efforts, including proposal writing, client presentations, and thought leadership.
Qualifications
- Bachelor's degree in
Computer Science
, Engineering, or a related field; advanced degree preferred. - 5+ years
of experience in AI/ML solution architecture and development, including cloud-based deployments. - 1+ year
of hands-on experience with
Generative AI
technologies and frameworks. - Proficiency in Python, TensorFlow, PyTorch, and cloud platforms such as Azure, AWS, or GCP.
- Strong understanding of data engineering, model lifecycle management, and MLOps.
- Experience working in a consulting or client-facing environment is highly desirable.
- Excellent communication and stakeholder management skills.
- Relevant certifications (e.g., Azure AI Engineer, Solutions Architect, AI-900) are a plus.
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