Technical Consultant – Data Pipelines & AI

SymphonyAI Industrial, Inc.; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

SymphonyAI Financial Services is seeking a Technical Consultant to own technical configuration, deployment, and integration for client workstreams across SaaS and on-prem environments. You translate business and regulatory requirements into practical technical specs, build and validate data pipelines, and support delivery through SIT, UAT, OAT, and production deployments.

You will work day-to-day with client compliance, risk, and technology teams, leveraging logs, automation, and root cause

Qualifications

• 3 to 7 years of technical implementation experience with hands on delivery in enterprise or client-facing environments, including at least one deployment through UAT or one data pipeline delivered to production.
• Strong SQL and data skills. You can build queries and pipelines, perform data validation and quality checks, and troubleshoot database or data integration issues.
• Linux/Unix and scripting experience using Bash and the ability to read and troubleshoot Python, Java, or similar code.
• Deployment and automation experience with Git, GitHub, CI/CD, YAML, Helm, and working knowledge of Kubernetes.
• Integration experience with XML and JSON configuration, REST APIs, SAML/SSO, and basic networking concepts.
• Cloud experience with at least one major platform such as AWS, Azure, or GCP.
• Strong problem solving skills. You use logs, evidence, and root cause analysis to resolve integration, deployment, data, and environment issues.
• Client-facing communication skills. You can explain complex technical topics clearly, manage stakeholder expectations, and provide proactive updates on progress, risks, and issues.
• An ownership mindset. You can manage an assigned workstream end to end, balance multiple priorities, and escalated architecture or scope changes at the right time.
• Practical AI experience. You have used AI tools or LLM APIs to accelerate technical work and understand the importance of validating outputs before integrating them into business processes.

Responsibilities

• Own technical delivery. Lead configuration, deployment, integration, and data pipeline activities for assigned client workstreams from requirements through OAT and production.
• Translate requirements into solutions. Turn client business, regulatory, data, and security needs into clear technical specifications and implementation plans.
• Build reliable data pipelines. Develop, validate, orchestrate, and deploy SQL- and Python-based pipelines with appropriate data quality checks, scheduling, documentation, and operational readiness.
• Configure and deploy applications. Use GitHub, YAML, Helm, Kubernetes, and CI/CD practices to package, configure, and deploy solutions across SaaS and client environments.
• Solve problems at the source. Use logs and root cause analysis to resolve moderately difficult issues across data, APIs, SAML/SSO, networking, deployment, and application configuration.
• Support client acceptance. Plan and support SIT, UAT, OAT, technical reviews, validation, and production deployment while protecting delivery timelines, SLA commitments, and client acceptance.
• Put AI to work. Use AI tools, LLMs, and RAG to accelerate technical workflows, pipeline development, validation, documentation, and troubleshooting while checking outputs for accuracy and suitability.
• Integrate AI capabilities. Support model endpoints, data preparation, and AI or LLM API integration through REST endpoints or SDKs, and help monitor deployed AI solutions.
• Partner across teams. Work closely with client stakeholders, Technical Program Managers, Solution Architects, Data Science, Engineering, and Product Delivery on decisions, risks, and scope.
• Make progress visible. Provide proactive status updates on delivery, dependencies, risks, issues, and technical decisions to project sponsors and senior stakeholders.
• Help others grow. Share implementation practices and mentor junior consultants while escalating architecture changes and material scope decisions to the appropriate senior owners.

Skills

SQL

Data pipelines

Linux/Bash

Python/Java familiarity

GitHub/CI/CD

YAML/Helm

Kubernetes

REST APIs / SAML

Cloud platforms (AWS/Azure/GCP)

Problem solving

Client-facing communication

Ownership / delivery leadership

AI / LLM tooling

Tools

GitHub

YAML

Helm

Kubernetes

CI/CD

Job description

SymphonyAI Financial Services is seeking a Technical Consultant to own technical configuration, deployment, and integration for client workstreams across SaaS and on-prem environments. You translate business and regulatory requirements into practical technical specs, build and validate data pipelines, and support delivery through SIT, UAT, OAT, and production deployments.

You will work day-to-day with client compliance, risk, and technology teams, leveraging logs, automation, and root cause