Senior Engineer - AI

Join SADA, an Insight company as a Senior AI Engineer! 

Your Mission

We're seeking a highly skilled and visionary Senior AI Engineer to pioneer and lead our AI initiatives, establishing a robust AI foundation across our organization. As the go-to expert, you'll be critical in architecting and implementing advanced AI-driven solutions, leveraging platforms like CCAIP, Vertex AI, and Generative AI to influence product roadmaps and drive innovation. This role focuses significantly on designing, implementing, and deploying sophisticated AI-powered solutions for Contact Centers (CCAI) for our clients, alongside building robust data solutions. You'll also provide essential technical leadership and mentorship to ensure the successful delivery of projects.

Responsibilities:

• Solution Design & Architecture: Lead the technical design and architecture of complex AI/ML solutions, including intricate conversational AI flows. This involves deeply leveraging the Google Cloud Platform (GCP) to architect solutions within Dialogflow CX, integrating with other GCP services, and designing robust data solutions using BigQuery and other relevant tools. Provide deep technical guidance specific to the CCAI ecosystem and ensure architectural alignment with Google Cloud best practices.

• Hands-on Development & Deployment: Drive hands-on development and deployment of complex AI components, including advanced Conversational AI components on Google CCAI. Expertly utilize Dialogflow CX, Vertex AI (including generative AI capabilities), and GCP compute services for custom integrations.

• Generative AI & LLMs: Implement and integrate generative AI models and Large Language Models (LLMs), including custom development and deployment, for enhanced conversational experiences and broader AI applications. Explore multimodal use cases involving audio, video, or images.

• CCAI Platform Management: Lead significant projects such as Dialogflow ES to CX migrations, ensuring seamless transition and optimization of conversational agents. Integrate AI solutions with various CCaaS (Contact Center as a Service) platforms like UJET/CCAIP.

• Data Solutions: Architect and implement robust data pipelines and solutions using BigQuery and other relevant tools for AI model training, inference, and analytics, particularly for conversational data.

• Technical Leadership & Mentorship: Provide deep technical guidance and mentorship to junior engineers and developers in their areas of expertise, sharing best practices and troubleshooting techniques, and fostering a culture of knowledge sharing and continuous improvement.

• Pre-Sales Support Contribution: Collaborate as a lead technical expert in strategic pre-sales engagements for Google CCAI, delivering expert solution demonstrations, crafting compelling technical proposals, and conducting in-depth workshops to address complex client needs.

• Innovation & Research: Proactively research and evaluate the latest advancements in AI/ML, generative AI, LLMs, and particularly Google CCAI, Dialogflow CX, and Vertex AI Gen AI, to identify opportunities for solution enhancement and team knowledge sharing.

Pathway to Success

Our singular goal is to provide customers the best possible experience in building, modernizing, and maintaining applications in Google Cloud Platform. 

Your success starts by positively impacting the direction of a dynamic practice with vision and passion. You will be measured quarterly by the breadth, magnitude and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions.  

As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks.

Required Qualifications:

• 5+ years of experience in IT, with proven experience contributing to the design, building, and deployment of enterprise-grade AI/ML solutions, including a significant focus on contact center and conversational AI solutions.

• Strong understanding of AI/ML principles, natural language processing (NLP), machine learning algorithms, and deep learning architectures.

• Expert-level hands-on experience with Google Cloud Platform (GCP), particularly services such as:

• Dialogflow CX (advanced proficiency is a must)

• Vertex AI (especially generative AI features, custom model deployment, Vertex AI Search)

• BigQuery

• Cloud Functions or similar serverless compute

• Experience with Google CCAI services and ecosystem.

• Hands-on experience deploying and using 3rd-party LLMs.

• Familiarity with AI Applications like agent builder, agent space, concepts of datastore, fine tuning (Connectors, Controls, ACLs, etc.).

• Strong understanding of contact center operations and technologies.

• Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences (both technical and non-technical).

Preferred Qualifications:

• Familiarity with Agile development methodologies.

• Industry certifications in relevant technologies (e.g., Google Cloud Professional Machine Learning Engineer).

• Experience tuning applications for non-functional requirements, i.e., usability, maintainability, scalability, availability, security, portability, etc.

• Exposure to relational and NoSQL datastores.

• Experience with API design and development (RESTful, gRPC) and strong familiarity with relevant programming languages for AI/ML development (e.g., Python).

• Familiarity with frontend web technologies, particularly React or Angular, for building user interfaces that integrate with AI solutions.

• Experience with other cloud offerings and solutions (e.g., AWS Lex, SageMaker, Lambda, or Azure Bot Service, Machine Learning).

Good to have experience in:

• Agent Assist

• ML: Data Ingestion, Exploration, Transformation, and Validation

• ML: Model Development Frameworks

• ML: Specialized Modeling Areas

• ML: Evaluation and Monitoring