Forward Deployment Engineer

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

As a Forward Deployment Engineer, you will serve as a technical bridge between Sales, Engineering, and Service Delivery teams. Your primary objective is to ensure the successful implementation and adoption of complex, end-to-end frontier model deployments for our clients. You will lead technical discovery, system design, and production rollouts, playing a pivotal role in shaping the client experience through collaborative system architecture and execution.

Success in this role is measured by production adoption, tangible workflow impact, and the delivery of eval-driven insights that influence product and model roadmaps. You will operate cross-functionally with Research, Partnerships, GRC, Security, and GTM teams to deliver high-impact solutions.

• →Identify and architect opportunities within client environments to scale agentic solutions, advanced data models, and sophisticated workflows.
• →Oversee the end-to-end technical delivery of multiple deployments, transitioning projects from initial prototypes to stable, production-ready environments.
• →Engineer full-stack systems designed to maximize customer value and accelerate organizational learning.
• →Partner closely with customer teams to understand unique requirements and drive the seamless adoption of deployed solutions.
• →Manage project scoping, sequence critical deliveries, and proactively mitigate technical or operational blockers.
• →Balance trade-offs between scope, velocity, and quality to ensure consistent delivery excellence.
• →Contribute high-quality code to maintain project momentum and technical clarity.
• →Develop tools, playbooks, and modular building blocks to codify best practices for broader organizational use.
• →Provide field-based feedback to Research and Product teams to drive iterative improvements in model performance and utility.
• →Maintain organizational alignment through clear communication and consistent follow-through on technical commitments.
• →Cultivate strong relationships with key stakeholders to drive customer success and long-term satisfaction.
• →Apply a consultative approach to stakeholder engagements, integrating business objectives with full-stack technical solutions.
• →Propose fit-for-purpose agentic solutions tailored to client needs and supported by rigorous research.
• →Develop sophisticated demonstrations and proof-of-concept environments based on specific client requirements.
• →Support the broader 66degrees team by evaluating and integrating emerging products and technologies.

• 3+ years of professional experience within Google Cloud Platform (GCP), Azure, or AWS; GCP experience is strongly preferred.
• GCP Professional-level certification is required within the first 90 days of tenure.
• Proven ability to strategize, architect, and lead the deployment of scalable enterprise solutions on GCP.
• 5+ years of engineering or technical deployment experience, with a significant emphasis on customer-facing engagements.
• Experience delivering complex systems within fast-paced or ambiguous environments.
• Proficiency in developing production-grade code across the full stack using Python, JavaScript, or comparable frameworks.
• Hands-on experience deploying LLMs or generative models, with an understanding of how model behavior impacts the end-user product experience.
• Demonstrated ability to distill complex requirements into simple, effective solutions under tight deadlines.
• Exceptional communication skills and the ability to drive critical decisions with engineering teams and executive stakeholders.
• Strong aptitude for risk management and real-time operational adjustments to protect the customer experience.

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.