Description:

Provectus helps companies adopt ML/AI to transform their operations, competition, and value creation.
The company focuses on building ML Infrastructure to drive end-to-end AI transformations and assist businesses in adopting the right AI use cases.
As a Solutions Architect, you will design, plan, and implement scalable, cloud-based, and on-premise data and ML architectures.
You will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments.
Your role will focus on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance.
You will provide strategic technical leadership on complex, high-impact customer engagements.
Your responsibilities include designing advanced technical solutions, managing technical risks, and collaborating with cross-functional teams to ensure successful solution delivery.
You will drive innovation, optimize customer KPIs, and mentor other architects and technical leaders.

Requirements:

You must have 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure).
Excellent communication and problem-solving skills are required, with the ability to work across multiple projects and articulate complex technical concepts to both technical and non-technical audiences.
Technical sales or pre-sales experience with cloud and big data and ML solutions is necessary.
Strong leadership and team collaboration abilities are essential.
You should possess strategic thinking with a focus on delivering measurable business value.
Proven ability to build strong relationships with customers and act as a trusted advisor is required.
Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack is necessary.
A strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions is required.
Proven experience with data lakes, data warehouses, and real-time data analytics is essential.
Proficiency in Java, Python, and modern data technologies like Snowflake and Databricks is necessary.
A solid understanding of machine learning and MLOps tools (TensorFlow, PyTorch, SageMaker) is required.
You must demonstrate the ability to lead and mentor cross-functional teams.
Familiarity with agile methodologies is necessary.

The position offers the opportunity to work in a full-time remote environment.
You will have the chance to lead innovative projects in the rapidly evolving field of AI and ML.
The role provides opportunities for professional growth and development through mentorship and collaboration with cross-functional teams.
You will be part of a company that values strategic thinking and measurable business value.
The position allows for continuous learning and staying updated with the latest technology trends.