AI Deployment Strategist

Job Summary:

We are looking for a forward-thinking AI Deployment Strategist to lead the strategic planning, implementation, and scaling of artificial intelligence solutions across our business operations. This role bridges the gap between AI research, technical deployment, and business impact, ensuring that AI initiatives align with organizational goals and deliver measurable results.

Key Responsibilities:

• Develop and execute AI deployment strategies that align with the companys short- and long-term goals.

• Collaborate with cross-functional teams including data science, engineering, product, and business stakeholders to identify AI use cases.

• Oversee the end-to-end deployment of AI models and solutions into production environments.

• Define KPIs and success metrics for AI initiatives; monitor and optimize deployments post-launch.

• Assess infrastructure readiness and recommend tools, platforms, or architecture improvements.

• Ensure ethical, secure, and compliant use of AI technologies across departments.

• Provide strategic guidance on AI trends, vendor evaluation, and emerging technologies.

• Lead change management efforts to ensure successful AI adoption and stakeholder buy-in.

Requirements:

• Bachelor's or Masters degree in Computer Science, Data Science, Engineering, Business, or related field.

• 5+ years of experience in AI/ML deployment, digital transformation, or technology strategy roles.

• Strong understanding of AI/ML model lifecycle, deployment pipelines, and infrastructure (e.g., cloud platforms like AWS, Azure, GCP).

• Proven ability to translate business objectives into AI solutions and vice versa.

• Excellent communication and stakeholder management skills.

• Familiarity with MLOps tools, model monitoring, and continuous delivery of ML models.

• Knowledge of data privacy, ethical AI, and regulatory compliance (e.g., GDPR, HIPAA).

Preferred Qualifications:

• Experience in consulting, enterprise AI transformations, or scaling AI in production environments.

• Certification in AI/ML, cloud technologies, or project management (e.g., AWS ML Specialty, PMP).

• Familiarity with generative AI and LLM deployment strategies.