LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

We are a global analytics, machine learning, and AI solutions consulting company that helps enterprises accelerate digital transformation with innovative data-driven applications.

We are seeking a senior AI solutions architect with GTM responsibilities to join our team. This role combines hands-on solution engineering with client-facing and go-to-market responsibilities. The ideal candidate will bring deep technical expertise in AI/ML and cloud platforms, along with the ability to engage business stakeholders and articulate the value of advanced AI solutions.

As an AI Solutions Architect—GTM, you will:

Support go-to-market efforts by engaging with prospects and clients in pre-sales conversations.
Build prototypes, proof-of-concepts, and tailored demonstrations that highlight the value of our AI/ML and agentic AI solutions.
Translate client needs into technical possibilities and present solutions in a clear, compelling manner.
Act as a trusted technical expert in early-stage client engagements, supporting sales and business development teams.
Stay ahead of emerging AI/ML technologies and bring innovative approaches to solution demonstrations.
This is an individual contributor role with no direct reports, reporting to the Head of AI.

Responsibilities:

Participate in client and prospect meetings to present technical capabilities and answer solution-focused questions.
Develop prototypes, proof-of-concepts, and demos aligned to client needs.
Customize existing AI/ML solutions to showcase value in early client engagements.
Provide technical expertise during proposals, RFPs, and solution pitches.
Continuously explore emerging AI/ML and Agentic AI frameworks and incorporate them into GTM efforts.
Represent the organization as a subject-matter expert in discussions with prospective clients.

Requirements:

8+ years of experience in AI/ML engineering, data science, data engineering, or software development.
Strong experience customizing and deploying AI/ML solutions in enterprise environments.
Proven ability to work with clients in pre-sales, GTM, or solutioning contexts.
Hands-on expertise with agentic AI, GenAI, and ML frameworks (LangChain, Hugging Face, PyTorch, TensorFlow, etc.).
Deep knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (Docker, Kubernetes, CI/CD, MLflow).
Strong programming skills in Python (plus Node.js/JavaScript/React for solution customization).
Exceptional communication skills with the ability to influence technical and non-technical stakeholders.
An advanced degree (master’s or Ph.D.) in computer science, data science, AI/ML, or a related field is preferred.

Skills:

AI/ML & Agentic AI: PyTorch, TensorFlow, Hugging Face, LangChain, and agentic frameworks.
Software Development: Python, Node.js, React, FastAPI/Flask.
Cloud & MLOps: AWS/GCP/Azure, Docker, Kubernetes, CI/CD pipelines.
Consulting & GTM: Client engagement, pre-sales engineering, solution demos, and business-value articulation.
Other: Strong problem-solving, cross-functional collaboration, and the ability to balance engineering and GTM priorities.

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state, or local laws.

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