Senior AI/GenAI Solutions Architect - Presales

Senior AI/GenAI Solutions Architect & Technical Leader Client is seeking an exceptional

Senior AI/GenAI Engineer

who will also serve as a

Solutions Architect

and

Technical Leader . This highly strategic role

demands 15+ years of data and analytics experience

and a proven track record of designing, developing, and deploying complex, enterprise-scale AI/Generative AI applications. You will be responsible for defining the technical strategy with

CXO-level executives , leveraging our modern data lake platforms, and transforming innovative POCs into production-ready, governed solutions.

Key Responsibilities

Serve as the

chief technical authority

for all AI/GenAI initiatives, providing technical leadership and mentorship across engineering teams.

Collaborate directly with

CXO-level stakeholders

to define the organizational AI strategy, identify high-impact business use cases, and translate them into a concrete, executable roadmap.

Define and enforce standards for

AI Model Governance, Responsible AI , and compliance, ensuring solutions are ethical, transparent, and auditable.

Build rapid

Proof-of-Concept (POC)

s to validate strategic AI applications and demonstrate compelling business value to leadership.

Ability to lead the Solution design for the RFPs.

This role is a 70% technical and 30% leadership.

Solution Design and Architecture

Provide the comprehensive

Solution Design and Application Architecture

for enterprise AI/GenAI systems, ensuring high performance, scalability, and security.

Architect and optimize solutions at both the

tool and platform level , maximizing value from our existing data lake ecosystem (e.g., Databricks, AWS, Python etc.).

Drive the selection and integration of necessary tools, libraries, and frameworks required for full-lifecycle GenAI development and deployment.

Hands‑On Development and Optimization

Apply

3-4 years of direct, hands‑on experience

to architect and develop robust, production‑grade Generative AI applications.

Expertly utilize advanced AI/GenAI techniques, including complex

Prompt Engineering , designing efficient

Retrieval‑Augmented Generation (RAG)

pipelines, and building multi‑step

Agentic solutions .

Focus on

model performance optimization

and cost efficiency during training, fine‑tuning, and inference stages.

Establish

CI/CD and MLOps pipelines

for automated testing, deployment, and monitoring of AI applications.

Required Qualifications

15+ years of total experience in the Data, Analytics, and Software Engineering fields, with at least 5 years in a senior leadership or architecture role.

3-4 years of recent, hands‑on experience specifically designing, building, and deploying production‑grade AI and Generative AI applications.

Technical Acumen:

Deep expertise in

Prompt Engineering ,

RAG frameworks

(e.g., LangChain, LlamaIndex), and building

Agentic systems .

Comprehensive understanding of the

data science and MLOps lifecycle

leveraging platforms like Databricks, AWS and other open source platforms.

Expertise with

data lake platforms

and modern data processing architectures.

Strong proficiency in programming (e.g., Python) and cloud platforms (AWS, Azure).

Exceptional ability to communicate complex technical concepts and strategic vision to both

executive audiences (CXOs)

and technical teams.

Proven ability to drive architectural decisions and manage trade-offs between speed, cost, and quality.

Solution presentations to senior leadership.

Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.

Seniority Level Mid-Senior level

Employment Type Contract

Job Function Information Technology

Industries: Professional Services

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