Job description

Primary Duties: - Business Consultation & Use Case Discovery: - Consult directly with business units to identify high-potential AI opportunities that align with strategic objectives - Lead discovery workshops and needs assessment sessions with stakeholders at all levels - Translate business challenges into technically feasible AI use cases with clear success metrics - Develop prioritization frameworks to assess AI initiatives based on business impact, technical feasibility, and compliance requirements - Guide business stakeholders through the AI solution lifecycle from concept to implementation - AI Solution Design & Architecture: - Design end-to-end AI solution architectures that balance innovation with practical implementation considerations - Create technical specifications, architecture diagrams, and implementation roadmaps - Select appropriate AI approaches, methodologies, and technologies based on business requirements - Develop data strategies including sources, preparation, governance, and quality requirements - Design integration approaches with existing systems and business processes - Compliance & Ethical AI Governance: - Ensure all AI solutions adhere to regulatory requirements, industry standards, and organizational policies - Implement privacy-by-design and security-by-design principles in AI solutions - Develop frameworks for bias detection, fairness evaluation, and model explainability - Create model documentation standards and review processes for compliance validation - Design appropriate human oversight mechanisms for AI systems - Implementation & Adoption Support: - Provide technical guidance during solution development and implementation phases - Support testing and validation of AI solutions against business requirements and performance metrics - Develop adoption strategies and change management approaches for AI initiatives - Create measurement frameworks to track business impact and ROI of implemented solutions - Facilitate knowledge transfer to business stakeholders for long-term solution ownership - Cross-Functional Collaboration: - Serve as the technical bridge between business units, data science teams, and IT departments - Collaborate with legal, compliance, and risk management teams to address governance requirements - Communicate complex AI concepts to non-technical stakeholders in business-relevant terms - Build consensus among diverse stakeholders around AI solution approaches - Advocate for responsible and ethical AI practices throughout the organization Minimum Qualifications: - 6+ years of experience in AI/ML solution design, enterprise architecture, or technical consulting - Proven track record designing and implementing compliant AI solutions across multiple business domains - Experience with AI governance frameworks, responsible AI principles, and regulatory requirements - Knowledge of major cloud AI/ML platforms (AWS AI Services, Azure Cognitive Services, Google Cloud AI) - Excellent communication skills with ability to explain complex technical concepts to diverse audiences - Experience in stakeholder management and business requirements gathering Preferred Knowledge, Skills and/or Abilities: - Advanced degree in Computer Science, Artificial Intelligence, Data Science, or related field - Certifications in cloud AI services, solution architecture, or project management - Experience with MLOps practices and tooling for production AI systems - Background in regulated industries (finance, healthcare, insurance) with compliance requirements - Knowledge of privacy regulations (GDPR, CCPA, HIPAA) and their implications for AI systems - Experience in model risk management, model validation, or AI auditing - Background in change management or digital transformation initiatives - Consultative mindset with strong listening and needs analysis skills - Business acumen with ability to align technical solutions to business objectives - Intellectual curiosity and commitment to continuous learning - Ethical approach to AI design and implementation - Strategic thinking balanced with pragmatic problem-solving - Collaborative team player who excels in cross-functional environments

Requirements