About the role
Sequencr AI is on a mission to reshape how modern marketing and communications teams operate through intelligent, AI-driven solutions. We are seeking a Head of Engineering and AI to lead the technical direction, execution, and growth of our AI solutions. This role requires deep technical expertise along with experience leading and scaling engineering teams. You will be responsible for setting engineering strategy, guiding the engineering team, and ensuring delivery of innovative, secure, and impactful AI solutions.
Key Responsibilities:
- Leadership & Strategy : Define the AI engineering vision and roadmap, aligning technical execution with business goals.
- Team Management : Lead and mentor a strong engineering team, fostering a culture of innovation, accountability, and collaboration.
- AI Development : Lead the design, fine-tuning, and deployment of AI models and agent-based architectures.
- Intelligent Systems : Oversee the creation and integration of agents and AI-powered workflows that deliver measurable impact to client workflows.
- Evaluation & Testing : Establish frameworks for benchmarking, testing, and continuous improvement of AI models and systems.
- Collaboration : Work closely with product, data, and leadership teams to ensure engineering outcomes support strategic objectives.
- Innovation : Stay at the forefront of AI research, frameworks, and best practices, integrating emerging technologies where appropriate.
- Security & Compliance : Ensure engineering practices meet standards for privacy, responsible AI, and enterprise security.
- Hands-On Contribution : Provide technical leadership through problem solving and experimentation with complex AI challenges.
Qualifications and Skills
- Proven experience leading engineering or AI teams, with strong people management and mentorship skills.
- Deep technical expertise in AI including generative AI, model fine tuning and training, and agent architectures.
- Proficiency in Python and familiarity with major AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex).
- Experience designing and deploying scalable systems on cloud platforms (AWS, GCP, Azure).
- Ability to balance strategic leadership with technical execution.
- Excellent communication and collaboration skills across technical and non-technical teams.
About Sequencr AI
About the role
Sequencr AI is on a mission to reshape how modern marketing and communications teams operate through intelligent, AI-driven solutions. We are seeking a Head of Engineering and AI to lead the technical direction, execution, and growth of our AI solutions. This role requires deep technical expertise along with experience leading and scaling engineering teams. You will be responsible for setting engineering strategy, guiding the engineering team, and ensuring delivery of innovative, secure, and impactful AI solutions.
Key Responsibilities:
- Leadership & Strategy : Define the AI engineering vision and roadmap, aligning technical execution with business goals.
- Team Management : Lead and mentor a strong engineering team, fostering a culture of innovation, accountability, and collaboration.
- AI Development : Lead the design, fine-tuning, and deployment of AI models and agent-based architectures.
- Intelligent Systems : Oversee the creation and integration of agents and AI-powered workflows that deliver measurable impact to client workflows.
- Evaluation & Testing : Establish frameworks for benchmarking, testing, and continuous improvement of AI models and systems.
- Collaboration : Work closely with product, data, and leadership teams to ensure engineering outcomes support strategic objectives.
- Innovation : Stay at the forefront of AI research, frameworks, and best practices, integrating emerging technologies where appropriate.
- Security & Compliance : Ensure engineering practices meet standards for privacy, responsible AI, and enterprise security.
- Hands-On Contribution : Provide technical leadership through problem solving and experimentation with complex AI challenges.
Qualifications and Skills
- Proven experience leading engineering or AI teams, with strong people management and mentorship skills.
- Deep technical expertise in AI including generative AI, model fine tuning and training, and agent architectures.
- Proficiency in Python and familiarity with major AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex).
- Experience designing and deploying scalable systems on cloud platforms (AWS, GCP, Azure).
- Ability to balance strategic leadership with technical execution.
- Excellent communication and collaboration skills across technical and non-technical teams.