Forward Deploy Engineer, AI Solutions - Lead

ESSENTIAL
DUTIES AND RESPONSIBILITIES

●      Collaborate directly with enterprise
clients and internal stakeholders to deeply understand business goals,
operational workflows, data landscapes, and technical constraints.

●      Design, build, and deploy AI-driven
solutions, integrating core AI platforms into customer systems and workflows.

●      Translate complex business problems into
viable AI solutions, focusing on where AI agents can augment or replace manual
processes.

●      Develop and maintain robust, scalable
AI-powered systems, ensuring efficiency, reliability, and seamless integration
with existing IT frameworks.

●      Implement multi-agent systems and
advanced AI solutions, utilizing techniques such as prompting, memory
management, tool usage, and behaviour planning with Large Language Models
(LLMs).

●      Rapidly prototype and productionize
solutions, working with client teams to whiteboard concepts, build prototypes,
and iterate quickly based on feedback.

●      Build connectors and data pipelines for
secure and efficient data flow between client systems and AI platforms.

●      Act as a technical solutions expert,
providing troubleshooting, analysis, and support for AI-driven architectures.

●      Provide training, documentation, and
enablement to client business and operations teams, fostering self-sufficiency
and adoption of AI tools.

●      Serve as a critical feedback loop to
internal product and engineering teams, influencing the roadmap based on
customer insights and real-world deployment challenges.

●      Lead the technical delivery of pilot
projects and full-scale implementations, ensuring on-time delivery and
adherence to performance metrics.

QUALIFICATIONS

To perform
this job successfully, an individual must be able to perform each essential
duty satisfactorily. The requirements listed below are representative of the
knowledge, skill, and/or ability required.

EDUCATION
and EXPERIENCE

●      Bachelor's degree in Computer Science,
Engineering, or a related technical field.

●      5-8 years of progressive experience in
software engineering, data engineering, applied Machine Learning, or a similar
technical role.

●      Experience in a customer-facing,
consulting, or implementation capacity is highly desirable.

TECHNICAL
SKILLS

●      Strong Programming Language Proficiency:
Expert-level skills in at least one modern programming language (e.g., Python,
Java).

●      Strong AI Literacy: Demonstrable
understanding of AI/ML fundamentals, including concepts like LLMs, RAG
(Retrieval Augmented Generation), embeddings, and vector databases.

●      Hands-on experience with cloud platforms
(AWS/GCP/Azure), including familiarity with MLOps tooling.

●      Experience with API design and
integration for AI services and enterprise systems (e.g., Salesforce,
ServiceNow).

●      Solid understanding of software
development lifecycle (SDLC) best practices and agile methodologies.

GOOD TO
HAVE

●      Agentic AI Hands-on Experience: Practical
experience in designing, building, and deploying AI agents or multi-agent
systems that exhibit autonomous, proactive, and adaptive behaviours.

●      Familiarity with containerization
technologies (Docker, Kubernetes).

●      Experience with data analytics and
visualization tools.

●      Prior experience in the commercial real
estate or adjacent industries.

OTHER
SKILLS and ABILITIES

●      Excellent written and verbal
communication skills, with the ability to articulate complex technical concepts
to both technical and non-technical audiences.

●      Strong problem-solving, analytical, and
organizational skills.

●      Ability to work autonomously, manage
multiple priorities, and deliver immediate value in open-ended problem
environments.

●      Consulting mindset with a focus on
stakeholder management, rapid prototyping, and iterative delivery.

●      Ability to build and maintain trusted
client relationships.