Job Description

This position is responsible for leading the architectural vision, strategy, and integration of AI and Generative AI (GenAI) solutions within the client's enterprise. The AI Architect will play a key role in identifying AI-driven opportunities, designing scalable solutions, and ensuring AI adoption aligns with the client's business objectives. The role requires a deep understanding of AI models, machine learning, data science, and cloud technologies, with a focus on practical implementation and enterprise integration. The successful candidate will engage in business discussions, work closely with stakeholders and leadership teams, and contribute to the roadmap and governance of AI adoption. They will be responsible for defining technical feasibility, ensuring the secure and scalable implementation of AI solutions, and guiding development teams toward AI-driven automation, analytics, and decision-making enhancements.

Responsibilities:
AI Strategy & Architecture Development (40%)

• Develop and maintain an AI and GenAI architecture strategy, ensuring alignment with enterprise goals.
• Define AI integration patterns within enterprise applications, leveraging cloud-based AI services and APIs.
• Establish AI governance frameworks, ensuring compliance with security, privacy, and ethical AI standards.
• Research emerging AI trends and ensure the organization stays ahead in AI adoption.
• Provide thought leadership on AI-driven transformation and innovation.

Business Engagement & Use Case Identification (30%)

• Work closely with business units, partners, and stakeholders to identify AI opportunities.
• Translate business challenges into AI use cases with measurable impact.
• Collaborate with teams to create AI-driven business cases and support investment decisions.
• Facilitate AI discovery workshops and proof-of-concept (PoC) initiatives.

AI Solution Development & Integration (20%)

• Define AI/ML solution architecture, guiding teams in model selection, deployment, and optimization.
• Ensure AI models are scalable, explainable, and robust, addressing bias, drift, and model governance.
• Work with cloud engineering, data science, and software teams to implement AI-driven automation and insights.
• Oversee the end-to-end lifecycle of AI models, from training and deployment to monitoring and maintenance.

Technical Leadership & Governance (10%)

• Develop AI architectural principles, best practices, and reusable frameworks.
• Mentor AI engineers, data scientists, and architects to ensure high-quality AI implementation.
• Ensure AI models comply with data security, privacy, and regulatory policies.
• Collaborate with IT teams to integrate AI solutions into the enterprise data ecosystem .
• Team oriented
• Demonstrates excellent written and verbal communication when working with product teams and working with end customers to understand and analyze feedback
• Understands client's needs, actively ensuring projects are on time and delivered above expectation.
• Determines cadence with practice and client.
• High level of innovation/creativity required
• Creative problem-solving skills
• Passion for ongoing personal development, keeping abreast of emerging technology and trends
• Be a member of the Products and Technology teams and contribute directly to the success of a product - by ensuring product features are adequately developed, tested and meet business requirements/customer feedback

Qualifications:
Education/Work Experience

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field(required).
• 3+ years of experience in AI, ML, and data science with hands-on AI solution architecture.
• 3+ years of experience in a leadership role guiding AI strategy and implementation.
• Proven experience with AI/ML model development, LLMs, and NLP technologies.
• Experience working with enterprise AI adoption, including security, compliance, and governance.
• Experience with ServiceNow AI integration, Microsoft Copilot, or AI-enhance process automation (a plus)

Technical Skills
AI & Machine Learning Expertise

• Experience with at least one LLM (GPT, BERT, OpenAI, Hugging Face, Gemini, LLAMA, etc.).
• Background in ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain).
• Understanding of AI pipelines, training, and fine-tuning AI models.
• Experience in AI-driven automation, anomaly detection, and NLP solutions.
• Familiarity with Vector Databases and Retrieval-Augmented Generation (RAG).

Cloud & Data Architecture

• Hands-on expertise with Azure AI Services, AWS AI/ML, or Google Vertex AI.
• Knowledge of MLOps, model deployment, and AI observability.
• Proficiency in Data Lakes, ETL, and Big Data pipelines.
• Understanding of graph databases, knowledge graphs, and embeddings.

Enterprise Integration & AI Governance

• Experience integrating AI solutions with enterprise applications and APIs.
• Familiarity with AI security, bias mitigation, and ethical AI principles.
• Strong knowledge of OAuth, Azure AD SSO, and identity management.

Development & Automation

• Programming experience in Python, SQL, and cloud-based AI APIs.
• Hands-on experience with Microsoft Copilot Studio and ServiceNow AI integrations.
• Experience with workflow orchestration tools (Airflow, Prefect, Azure Logic Apps).

We're an equal opportunity employer committed to increasing diversity and inclusion in today's workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.