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.
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....
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.
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