Solutions Architect
Posted 2026-05-06OTSI (Object Technology Solutions, Inc) has an immediate opening for a Solutions Architect Solutions Architect - Dallas/Houston (Remote - Open to travel) Job Key Responsibilities Required Skills: Consulting, Presales & Leadership Bonus What You Bring
Description:
We are seeking a Solutions Architect with deep hands-on expertise across
software engineering, data platforms, AI and ML, and cloud architecture. This
role blends technical leadership, presales strategy, and hands on solution
design, partnering closely with Sales, Product, and Delivery teams to shape
high value customer opportunities and modernize enterprise data and AI
ecosystems.
end-to-end software solutions including application architecture,
integration patterns, and cloud native design for client projects and
in-house R&D initiatives
data platforms using Microsoft Fabric, Databricks, Snowflake, or hybrid
combinations, including data warehouses, semantic models, and enterprise
data architectures aligned to analytics and AI use cases
across Azure, AWS, and GCP balancing innovation, scalability, and cost
efficiency
leadership across development, data engineering, AI and ML, and analytics
workloads
solutions using popular LLM ecosystems including building/fine-tuning
models, developing AI-powered applications, and integrating generative AI
into enterprise workflows
leadership across development, data engineering, AI/ML, and analytics
workloads, guiding customers through the SDLC with architectural
consistency, quality, and delivery readiness
phase during sales cycles partnering with Sales and Presales to shape deal
strategy, define solution scope, and build compelling technical narratives
Required Skills: Core Technical Expertise
software solutions and architectures on Azure, AWS, or GCP
technologies such as Apache Spark, Hadoop, Cassandra, and distributed
compute frameworks
data platforms using Databricks, Microsoft Fabric, and Snowflake (emphasis
on Fabric and Databricks), including data modeling, data warehousing, and
enterprise data architecture
engineering best practices, and modern development patterns
developing, and integrating AI/ML solutions including large language
models (OpenAI, Llama, custom models), vector search, prompt engineering,
and building AI-powered applications
presales, consulting, or solution architecture roles
complex technical concepts into clear, compelling business value with
executive presence across technical and business stakeholders
Sales and Presales to shape opportunities, define architectures, and
support deal strategy
communication, and white boarding skills
Platform (Power Apps, Power Automate, governance) and Power BI (data
modeling, DAX, semantic models)
Spark, or Scala
depth, data platform expertise, and hands-on AI and ML capability
ability to influence strategy, architecture, and customer outcomes
presales, architecture, hands-on development, and customer advocacy
and cloud technologies