Ai Researcher Software & Platform jobs at Cisco in United States, Atlanta

The application window is expected to close on: January 24, 2025.Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Your Impact

You should have experience calling on engineering firms and possess specification knowledge in industrial networking and AI machine vision. This role requires an understanding of sales cycles and the ability to build an ecosystem of key collaborators to drive development and move opportunities through the funnel. Experience in presenting customer feature requests, brand labeling, and building and selling these solutions is essential.

Key Responsibilities include:

• Collaborate with Product, Engineering, Sales, and Marketing teams to develop strategies for Industrial IoT solutions.
• Identify, engage, and establish relationships with industry partners, clients, and key customers to drive business growth and assemble new opportunities and drive revenue growth.
• Provide insights and recommendations to senior leadership that help craft the direction of our initiatives.
• Develop strategic arguments and use cases to quantify opportunities and present solutions to internal teams and upper management.
• Work closely with Sales teams to align resources, build strategic business plans, and support the closing of large, sophisticated deals.
• Engage with customers to understand their technical needs and deliver feedback to product teams to advise the development of new features.
• Stay informed on market trends, customer needs, and competitive landscapes in industrial markets.

Minimum Qualifications

• Bachelor's degree with 7+ years of business development or sales experience to include building go-to-market strategies for industrial products and solutions
• Demonstrated experience in Operational Technology (OT Networking) vertical markets with an understanding of partner ecosystems, design cycles, and purchasing processes.
• Demonstrated experience in emerging AI technologies in manufacturing or industrial applications, such as Machine Vision.

Preferred Qualifications

• Knowledge of the contracting lifecycle and partner/subcontractor delivery models; contract drafting experience is a plus.
• Experience managing and orchestrating sophisticated large-scale cross-functional (internal and external teams) projects/programs with a focus on results.
• Passion for continuous learning both technically and strategically.
• Outstanding communication, storytelling, and executive presentation skills.
• Strong customer relationship management and problem-solving capabilities.
• Ability to navigate ambiguity, prioritize effectively, and thrive in fast-paced environments
• Ability to work in a fast-paced environment and make an impact by driving complex, long-term opportunities.
• Excellent communicator who can successfully communicate with collaborators at all levels, including C-level executives, and present sophisticated technical solutions in a compelling manner.
• Strategic problem solver with strong analytical skills to assess market trends of a competitive landscape.

Teaming up with other forward-thinking engineers, designers, and delighted users, you will focus on improving the go to market experience for sales, marketing, and support users and the customers they interact with.

Your Impact

To be successful in this role, you’d be a role model who exemplifies our culture and embraces our product principles. You will work with:

• Business analysts to define and understand requirements
• Product DevOps teams to align deployments
• Product Managers that will help you know our customers and partners so you can deliver solutions that meet their needs and wants
• Technical Architects who will help you craft, develop, and operate with the standard methodologies, patterns the industry has to offer

Key Responsibilities:

• Builds key project documentation, including functional and technical design specifications
• Craft scalable and efficient Salesforce solutions that meet business requirements, considering factors such as performance, security, and maintainability.
• Design and implement data models, import/export data, and ensure data integrity within Salesforce.
• Integrate Salesforce with other systems using APIs, middleware, or tools like MuleSoft.
• Investigate and resolve technical issues reported by users, providing timely support and solutions.
• Collaborate with multi-functional teams including business partners, architects, administrators, and other developers to understand requirements and deliver solutions.
• Implement standard processes for API development, testing, and deployment
• Deploy code through basic CI/CD Pipelines using tools like Copado
• Conduct code reviews to ensure high-quality code, performance optimization, and alignment to coding standards, providing constructive feedback to team members.
• Know the latest with Salesforce releases, features, and standard processes, and recommend improvements or new solutions based on emerging technologies.

Minimum Qualifications

• Bachelors in Computer Science or equivalent 5+ years of related software development experience or Masters or equivalent experience in Computer Science or equivalent 3+ years of related software development experience
• 7+ years of Salesforce developer, with a solid understanding of Salesforce platform capabilities, limitations, and standard methodologies
• 5+ years of experience as a Salesforce developer, with a proven track record of successfully delivering sophisticated Salesforce Sales cloud projects.
• 4+ years of Experience integrating Salesforce with other systems using RESTful APIs, SOAP web services, or middleware like MuleSoft.
• 4+ years in advanced Salesforce development concepts such as asynchronous processing, batch processing, platform events, and integration patterns

Preferred Qualifications

• Demonstrable ability to work multi-functionally in a team environment, encouraging a culture of innovation, collaboration, and shared findings.
• Good communication skills to interact with business partners, capture requirements, and explain technical solutions in a clear and concise manner.
• Familiarity with Agile development methodologies and tools like JIRA for managing project tasks and sprints.
• Knowledge of Salesforce Einstein AI capabilities and implementation patterns.
• Required Salesforce Developer, Advanced Developer certifications. Any Integration Architect certification is preferred, experience with Mulesoft

Your Impact

As an AI researcher, you will

• Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety.
• Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
• Develop and train AI reasoning models for security applications.
• Develop agentic models with the aim of automating security testing.
• Author blog posts, white papers, or research papers related to emerging threats in AI security.
• Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

Minimum Qualifications:

• A PhD in computer science or related fields with 3 years of industry or academic experience in artificial intelligence, or Master’s with 5 years of related industry experience or Bachelor’s with 8 years of related industry experience
• Experience in AI, machine learning, and deep learning technologies
• Experience with generic programming languages such as Python
• Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models
• Experience reading academic papers on AI/ML and security and translating to prototype systems

Preferred Qualifications:

• Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks
• Experience with reinforcement learning and its application in foundation models.
• Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action
• Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies
• Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best