Senior Technical Consultant – Gen AI

Location: Dallas, TX Employment Type: Direct Hire Job ID: 141015 Date Added: 07/03/2026 Apply Now View All Jobs Thank you for applying. Someone will be contacting you shortly. Job Title: Senior Technical Consultant, Gen AI Location: Addison, TX – Onsite 4 days a week The Company Headquartered in Dallas TX, our client is a technology and strategy consultancy that aims to provide a competitive edge for its clients by solving complex problems with data, software, and strategy. They specialize in areas like technology strategy, product development, software engineering, and digital transformation, with a particular emphasis on AI, MLOps, and Data Engineering. The firm's clientele spans various industries, including AgTech, Healthcare, Logistics, and Financial Services. Platform / Stack You will work with technologies that include RAG, Agentic AI, Python, and MCP Servers. Compensation Expectation : $100,000 – $120,000 What You'll Do As a Senior Technical Consultant, Gen AI: Independent Workstream Delivery Take full ownership of assigned workstreams from kickoff through delivery — planning your own work, tracking your own progress, and driving to completion without needing day-to-day direction from a project manager or senior architect. Identify what needs to happen next before being asked — reading the project context, anticipating upcoming dependencies, and raising your hand early when something is going to block delivery. Produce client-ready deliverables — technical documentation, implementation artifacts, test results, and handoff materials — that meet professional quality standards without requiring significant rework by senior team members. Technical Execution Across the Stack Deliver technically sound solutions across the domains relevant to each engagement — data engineering, cloud infrastructure, AI/ML integration, application development, or analytics — applying current best practices and adapting to the client's existing environment. Write clean, well-structured code and configuration that other engineers can read, maintain, and extend — because delivery that only the original author understands is not complete delivery. Make pragmatic technical decisions within your workstream — knowing when to apply the right tool for the job, when to raise a decision to an architect, and when the perfect solution is less valuable than a working one delivered on time. Client Engagement & Communication Communicate clearly and professionally in all client interactions: status updates, technical walkthroughs, requirement clarifications, and risk discussions — adapting your register to your audience without losing precision. Deliver executive-level progress summaries that translate technical work into business language — because senior clients need to understand what is happening without wading through implementation details. Quality, Governance & Continuous Improvement Take ownership of the quality of everything that goes out under your name: tested, documented, reviewed, and meeting the standards the engagement has established — not the minimum that will pass review. Qualifications: You could be a great fit if you have: 5+ years of professional experience in technology consulting, software engineering, data engineering, or a closely related technical discipline — with demonstrated history of delivering workstreams independently in client-facing environments. Proven ability to operate without close supervision on complex technical work: planning your own tasks, managing your own time, and driving to completion across multiple concurrent workstreams. Strong technical foundation in at least two of the following domains: data engineering and pipelines, cloud infrastructure and deployment, AI/ML integration, application development, or analytics and BI — with enough breadth to contribute across an engagement beyond your primary specialization. Proficiency in Python and SQL as core working languages; comfort with additional languages, frameworks, and tools as required by engagement context. Experience working directly with clients — in discovery sessions, technical reviews, status meetings, and escalation conversations. A track record of delivering work that other engineers and stakeholders trust: clean code, complete documentation, and handoffs that don't require an extended knowledge transfer to make sense. The professional judgment to know when to decide, when to escalate, and when to push back — and the self-awareness to know which situation you are in. Preferred Experience in one or more of these core verticals: AgTech, Logistics, Financial Services, or Construction — with an understanding of the operational context that shapes technology decisions in those industries. Hands-on experience with modern AI and ML tooling: LLM integration, RAG pipelines, ML model deployment, or AI-powered automation in production environments. Familiarity with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code practices that enable repeatable, auditable deployments. Experience with modern data stack tooling: dbt, Airflow, Snowflake, Databricks, or equivalent platforms used in real client engagements. Professional certifications relevant to your technical domain (e.g., AWS Solutions Architect, Azure AI Engineer, Databricks Certified Data Engineer, dbt Analytics Engineer). Benefits Offered: Employer provides access to: Medical, Vision, & Dental benefits PTO Performance based bonuses Apply Now View All Jobs Related Jobs Technical Consultant Location: Dallas , TX Category: Employment Type: Direct Hire Job ID: 141027 Job Title: Technical Consultant, Gen AI Location: Addison, TX – Onsite 4 days a week The Company Headquartered in Dallas TX, our client is a technology and strategy consultancy that aims to provide a competitive edge for its clients by solving complex problems with data, software, and strategy.... Apply Now Designer Location: Orlando, FL Category: Employment Type: Contract Job ID: 141023 Job Title: