Sr. Enterprise Architect
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Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
GEN AI Solution Director Job DescriptionJob Role Overview:As a Generative AI Solution Director you will be responsible for leading the development and implementation of innovative AI solutions that leverage generative models to solve complex business problems. You will work closely with cross-functional teams including data scientists engineers product managers and business stakeholders to ensure the successful delivery of AI-driven Responsibilities:Strategic AI Solution Design: Collaborate with business leaders and product managers to understand business requirements pain points and opportunities where AI can deliver significant value. Design end-to-end AI/ML solution architectures including data pipelines model development frameworks deployment strategies and integration with existing enterprise systems. Develop architectural blueprints technical specifications and detailed design documents for AI/ML initiatives. Technology Selection & Evaluation: Research evaluate and recommend appropriate AI/ML technologies platforms frameworks tools and services (e.g. TensorFlow PyTorch scikit-learn AWS SageMaker Azure ML Google AI Platform MLOps tools). Make informed decisions regarding cloud on-premises or hybrid deployment models considering scalability performance cost-effectiveness security and maintainability. Stay abreast of the latest advancements in AI/ML Generative AI (LLMs diffusion models) and related emerging technologies assessing their potential impact and applicability. Technical Leadership & Guidance: Provide technical leadership and architectural guidance to data science ML engineering and software development teams throughout the entire AI/ML lifecycle (experimentation development deployment monitoring). Ensure adherence to architectural principles coding standards best practices in model development versioning testing and validation. Conduct architectural reviews and provide constructive feedback to ensure solution integrity and quality. Data Architecture & Management: Work closely with data engineers and data governance teams to design robust data architectures that support AI/ML initiatives ensuring data quality accessibility security and ethical handling. Understand and influence data collection storage processing and feature engineering strategies relevant to AI/ML models. Scalability Performance & Security: Design AI solutions that are highly scalable performant resilient and secure capable of handling large datasets and high inference volumes. Implement robust security measures and privacy-by-design principles in all AI AI & Compliance: Champion responsible AI practices ensuring that all AI solutions are developed and deployed ethically addressing considerations such as fairness bias mitigation transparency and explainability. Ensure compliance with relevant data privacy regulations (e.g. GDPR CCPA) and industry-specific Communication: Effectively communicate complex technical AI concepts and architectural decisions to both technical and non-technical stakeholders (including executive leadership). Manage expectations present progress and articulate the business value and ROI of AI Qualifications:A bachelors or masters degree or equivalent in computer science Artificial Intelligence or related development and architecture with a focus on generative AI solutions specifically focused on designing and implementing AI/ML solutions in an enterprise environment. Proven expertise in designing and deploying end-to-end machine learning pipelines. Strong understanding of various AI/ML techniques and algorithms (e.g. supervised unsupervised
GEN AI Solution Director Job DescriptionJob Role Overview:As a Generative AI Solution Director you will be responsible for leading the development and implementation of innovative AI solutions that leverage generative models to solve complex business problems. You will work closely with cross-functional teams including data scientists engineers product managers and business stakeholders to ensure the successful delivery of AI-driven Responsibilities:Strategic AI Solution Design: Collaborate with business leaders and product managers to understand business requirements pain points and opportunities where AI can deliver significant value. Design end-to-end AI/ML solution architectures including data pipelines model development frameworks deployment strategies and integration with existing enterprise systems. Develop architectural blueprints technical specifications and detailed design documents for AI/ML initiatives. Technology Selection & Evaluation: Research evaluate and recommend appropriate AI/ML technologies platforms frameworks tools and services (e.g. TensorFlow PyTorch scikit-learn AWS SageMaker Azure ML Google AI Platform MLOps tools). Make informed decisions regarding cloud on-premises or hybrid deployment models considering scalability performance cost-effectiveness security and maintainability. Stay abreast of the latest advancements in AI/ML Generative AI (LLMs diffusion models) and related emerging technologies assessing their potential impact and applicability. Technical Leadership & Guidance: Provide technical leadership and architectural guidance to data science ML engineering and software development teams throughout the entire AI/ML lifecycle (experimentation development deployment monitoring). Ensure adherence to architectural principles coding standards best practices in model development versioning testing and validation. Conduct architectural reviews and provide constructive feedback to ensure solution integrity and quality. Data Architecture & Management: Work closely with data engineers and data governance teams to design robust data architectures that support AI/ML initiatives ensuring data quality accessibility security and ethical handling. Understand and influence data collection storage processing and feature engineering strategies relevant to AI/ML models. Scalability Performance & Security: Design AI solutions that are highly scalable performant resilient and secure capable of handling large datasets and high inference volumes. Implement robust security measures and privacy-by-design principles in all AI AI & Compliance: Champion responsible AI practices ensuring that all AI solutions are developed and deployed ethically addressing considerations such as fairness bias mitigation transparency and explainability. Ensure compliance with relevant data privacy regulations (e.g. GDPR CCPA) and industry-specific Communication: Effectively communicate complex technical AI concepts and architectural decisions to both technical and non-technical stakeholders (including executive leadership). Manage expectations present progress and articulate the business value and ROI of AI Qualifications:A bachelors or masters degree or equivalent in computer science Artificial Intelligence or related development and architecture with a focus on generative AI solutions specifically focused on designing and implementing AI/ML solutions in an enterprise environment. Proven expertise in designing and deploying end-to-end machine learning pipelines. Strong understanding of various AI/ML techniques and algorithms (e.g. supervised unsupervised
Required Experience:
Senior IC
Key Skills
- SAP BusinessObjects
- Enterprise Architecture
- Hybris
- SAP HANA
- SAP
- TOGAF
- Solution Architecture
- Cloud Architecture
- SAP BW 4HANA
- Salesforce
- SAP S/4HANA
- SAP ERP
About Company
HCL Technologies is a next-generation global technology company that helps enterprises reimagine their businesses for the digital age. Our technology products, services, and engineering are built on four decades of innovation, with a world-renowned management philosophy, a strong cult ... View more
