Responsibilities:

• Collaborate with matrixed business SMEs to ensure successful delivery of AI use cases
• Define AI business capability requirements and approach
• Prioritize business cases based on needs and strategic goals
• Identify and manage data and change management needs
• Oversee business testing to ensure the effectiveness and accuracy of AI solutions
• Act as a liaison with the DDAT team to ensure alignment and integration
• Develop and refine data management strategies to support AI initiatives
• Operationalize data management practices to ensure data integrity, accessibility, and security
• Collaborate with cross-functional teams to implement data management solutions
• Monitor and evaluate the effectiveness of data management strategies and make necessary adjustments

Requirements & Skills:

• 2-4 years of experience in project management, business testing, and data management, preferably within the technology or AI sector.
• Understanding of AI persona development and implementation
• Understanding of AI technologies and their applications in business
• Excellent project management skills with the ability to manage multiple priorities
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to work effectively in a matrixed environment
• Prompt engineering AI
• Experience with data management tools and technologies
• Knowledge of change management principles and practices
• Familiarity with DDAT frameworks and methodologies

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Responsibilities:

• GenAI POC architecture, integrations, and solution design
• Design data processing architectures, data models, and pipelines
• Design scalable GenAI POC solutions and agentic integrations, ensuring compliance and integrating diverse systems
• Project tech leadership for POCs, design and develop AI prototype, leading AI experimentation
• Manage GenAI POC projects, aligning business and tech needs, AI Agents, and applying different AI domains (ML, DS, Gen AI)
• Support Azure/data solutions, migrations, and governance strategies
• Master Data Management strategies: design, discussion, optimization
• Planning and execution of migration of databases and data warehouses to Azure or cloud-agnostic modern warehouses
• Provide technical guidance in the Data / Azure space and pre-sales support to clients and internal teams
• Cooperating with client’s architects and senior technical management as an SME
• Provide a “track record” to credentialize GFT as a data-savvy organization

Requirements & Skills:

• Experience in designing and building software solutions using modern architectures and technologies
• Proficiency in utilizing Azure AI services, with a strong understanding of common challenges encountered in real-world implementations
• Hands-on experience with Generative AI Frameworks and Tools as OpenAI Python SDK, LlamaIndex, Semantic Kernel, LangChain, and Microsoft Guidance with examples of projects successfully delivered using RAG, especially within Azure environments
• Data Mesh Architecture – familiarity with decentralized data architecture principles and best practices
• API Orchestration – proficiency in designing and implementing API strategies to enable smooth data flow and integration
• Solid knowledge of Data Governance aspects (Data Catalogs, Data Lineage, Master Data Management, etc.)
• Proficiency in Python
• Strong understanding of LLMs and their applications
• Understanding of Software Development Life Cycle (SDLC) and AI Life Cycle (AILC)

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Responsibilities:

• Leads, mentors, and scales the contact center engineering team as well as championing a strong devops culture.
• Delivers applications that achieve 5-star ratings from their users.
• Employs the art and science of software engineering to be a leader in establishing product vision and strategy.
• Develops and implements comprehensive processes that increases delivery velocity without compromising quality across multiple teams.
• Guides the adoption of new data formats, data stores, and patterns for performance and data locality, consulting regularly across teams for input/feedback.
• Defines and models practices and culture that values and encourages cross-functional collaboration.
• Define and implement cross-org monitoring and response policies.
• Regularly interacts with end users (customers/employees) to understand their needs/wants.
• Connects multiple data hypothesis together to establish a larger narrative supported through data.
• Transforms ideas into elegant and simple architectures and software designs within budget and technology constraints.
• Anticipates the delta in effort between solutions with functional partners.
• Coaches others on best practices for architecture, software design, coding, and documentation.
• Ensures regulatory and corporate policy compliance, consistently employing privacy/security by design
• Advocates for the importance of continuous, rapid testing and learning.
• Consistently helps teams overcome obstacles and complete work.
• Delivers and operates software that achieves successful outcomes consistently.
• Defines career paths to help the team identify opportunities for growth and achieve their goals.
• Partners regularly with senior leadership stakeholders.

Requirements & Skills:

The post Senior Director – AI Customer Engagement, Optimum appeared first on AI Jobs Latest.

Responsibilities:

• As a lead engineer in a fast-paced environment, you will play a pivotal role in shaping the future of Cisco’s AI strategies for the next decade and beyond.
• In this position, you will lead the development of AI/ML technologies for our products, revolutionizing our industry with groundbreaking AI solutions.
• Working closely with diverse teams, you will spearhead multi-functional engagements to architect, design, build, validate, deliver, and successfully deploy new products.
• You will collaborate closely with the AI/ML Product, Data Science Research teams, building AI/ML infrastructures and AI-powered networking solutions.
• Your role will involve effective communication across engineering teams, engaging both technologists and senior business executives.
• Working in partnership with developers, UX designers, and non-technical partners at Cisco, you will contribute to building the next generation of a unified experience platform.

Requirements & Skills:

• Bachelor’s degree or experience with 15+ years of Software Engineering principles and System Architecture or Master’s degree with 8+ years of product engineering experience
• 3+ years experience with AI/ML projects
• Experience in core ML/AI and deep learning technologies such as TensorFlow, PyTorch, Kubernetes, Huggin Face, Databricks, and LLM APIs
• Experience with cloud platforms (e.g., AWS, Azure, GCP)
• Experience using Containerization tools, such as Docker, with a deep understanding of ML/AI application development
• Experience programming in Go or Python languages
• Strong personal network across generative AI /ML industry & ecosystem
• Knowledge of industry trends and business needs to drive technology innovation and execution

The post Lead Engineer – AI / Machine Learning, Cisco appeared first on AI Jobs Latest.

Responsibilities:

• Own the product lifecycle end-to-end, from ideation to execution and beyond.
• Define the vision and roadmap for your products, aligning with organizational goals.
• Partner with R&D, Data Science, and Business to ensure seamless, high-quality, and timely product releases.
• Write detailed requirements and specifications, ensuring alignment with business needs while driving agile development cycles.
• Gather and analyze user feedback, stakeholder input, and market trends to inform product features and enhancements.

Requirements & Skills:

• 5+ years in product management for machine learning or AI products.
• Skilled at engaging with clients to understand their needs and deliver impactful solutions.
• Hands-On Approach & Proven ability to manage releases, solve problems, and drive results with a proactive, accountable mindset.
• Strong analytical skills to interpret complex datasets and deliver actionable insights.
• Experience in building products that deliver data-driven insights to end users.
• Bachelor’s degree in Economics, Engineering, Sciences (Math, Physics, etc.), Statistics, or a related field. An advantage
• Knowledge in financial markets and economics- An advantage
• Strong communication skills and English proficiency

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