OP

Compensation

Full Description

We are looking for a Data & AI Architect to design and lead the development of data-driven and AI-enabled solutions. This role will be responsible for shaping enterprise data strategy, modernizing data platforms, and implementing AI/ML capabilities that enable innovation, automation, and business value. The ideal candidate combines expertise in data architecture, cloud platforms, and applied AI with strong business acumen and leadership skills. Responsibilities • Data Architecture & Strategy • Define enterprise data architecture, including data lakes, warehouses, and streaming platforms. • Establish data governance frameworks, metadata management, and data quality standards. • Align data strategy with organizational goals and digital transformation initiatives. • AI/ML Solution Design • Architect and oversee the implementation of AI/ML solutions for predictive analytics, personalization, automation, and decision support. • Partner with data science teams to operationalize models at scale. • Select and integrate AI frameworks, MLOps tools, and cloud-native AI services. • Platform Engineering & Integration • Design and manage cloud-based data platforms (AWS, Azure, GCP). • Define data pipelines, APIs, and real-time data integration patterns. • Ensure scalability, performance, and security across platforms. • Governance & Compliance • Ensure AI/ML solutions comply with ethical AI guidelines, privacy regulations (GDPR, CCPA), and enterprise security standards. • Establish monitoring and audit mechanisms for AI systems to ensure transparency and accountability. • Collaboration & Leadership • Act as a strategic advisor to business and technology leaders on data and AI opportunities. • Collaborate with stakeholders across IT, data science, product, and business units. • Mentor engineers, data scientists, and analysts in best practices for data and AI architecture. Required • 8+ years of experience in data architecture, enterprise data management, or AI/ML solution design. • Proven expertise with modern data platforms (Databricks, Snowflake, BigQuery, Synapse, Redshift, etc.). • Strong experience with cloud services (AWS SageMaker, Azure ML, GCP Vertex AI, etc.). • Proficiency in data integration, APIs, and streaming technologies (Kafka, Spark, Flink). • Solid understanding of AI/ML lifecycle, MLOps, and model deployment. • Knowledge of data security, compliance, and ethical AI practices. • Excellent communication and stakeholder engagement skills. Preferred Qualifications • Advanced degree in Computer Science, Data Science, or related field. • Certification in cloud platforms (AWS Solutions Architect, Azure Data Engineer, GCP Data Engineer). • Experience in both structured and unstructured data domains (IoT, NLP, computer vision). • Background in both B2B and B2C data-driven solutions. • Experience working in consulting or multi-client environments. Success Measures • Implementation of a scalable, secure, and future-ready data and AI architecture. • Increased business value from AI-driven insights, automation, and innovation. • Strong adoption of data and AI capabilities across the organization. • Demonstrated improvement in data quality, accessibility, and trust. Benefits • 401(k). • Dental Insurance. • Health insurance. • Vision insurance. • We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. • The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities • Participate in OP monthly team meetings and participate in team-building efforts. • Contribute to OP technical discussions, peer reviews, etc. • Contribute content and collaborate via the OP-Wiki/Knowledge Base. • Provide status reports to OP Account Management as requested. About Us OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields — including AI, cybersecurity, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.