We are seeking an AI Solution Architect to lead the design and implementation of AI-driven solutions that align with business objectives and deliver scalable, high-performance results. This role requires deep expertise in AI/ML, solution architecture, and cloud deployment while collaborating with clients, developers, and stakeholders to drive AI innovation.
Required Skills:
- 12+ years in software development, with 8+ years in AI/ML solution architecture.
- Expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment at scale.
- Experience with data pipelines, big data technologies (Hadoop, Spark, Kafka), and cloud orchestration tools.
- Strong programming skills in Python, with hands-on experience in ML model training, evaluation, and optimization.
- Familiarity with DevOps for AI (CI/CD pipelines, MLOps best practices).
- Strong leadership, communication, and problem-solving skills, with a proactive and collaborative mindset.
- Bachelor’s/Master’s degree in Computer Science, AI, or related fields.
Key Responsibilities:
- Architect and implement AI-powered solutions in machine learning, NLP, and computer vision to solve complex business challenges.
- Lead the AI solution lifecycle from concept to deployment, ensuring scalability, performance, and efficiency.
- Design end-to-end AI architectures, including data pipelines, model selection, deployment, and monitoring strategies.
- Integrate AI models into production environments, optimizing for performance, accuracy, and business impact.
- Evaluate and recommend AI tools, frameworks, and technologies for various projects.
- Mentor and guide AI engineers and data scientists, fostering best practices in AI development.
- Collaborate with cross-functional teams (data engineers, business analysts, UI/UX designers) to deliver AI-driven products.
- Ensure compliance with AI ethics, security, and governance while staying updated with the latest AI advancements.
- Communicate technical solutions effectively to both technical and non-technical stakeholders.
Preferred Qualifications:
- Experience with supervised/unsupervised learning, reinforcement learning, and deep learning.
- Understanding of international AI compliance, security, and governance standards.
- Ability to navigate complex technical challenges and drive AI innovation in real-world applications.
