[Hiring] Presales Engineer - Data & AI Engineering @Computer Task Group, Inc

Role Description

CTG is seeking an experienced Presales Solution Engineer to join our Data & AI practice. This individual will act as the technical bridge between our sales organization and clients, translating complex business problems into compelling, technically sound solution architectures spanning modern data platforms and AI/ML capabilities. You will be a trusted technical advisor throughout the sales cycle, from discovery and requirements gathering through solution design, demonstration, proof-of-concept (POC), and handoff to delivery teams.

Key Responsibilities

• Presales & Client Engagement
  • Partner with Account Executives and Sales leadership to qualify opportunities and shape win strategies for Data & AI engagements.
  • Lead technical discovery sessions with client stakeholders (business and IT) to understand current-state data architecture, pain points, and desired business outcomes.
  • Translate business requirements into technical solution designs, reference architectures, and value propositions tailored to the client's environment.
  • Serve as the primary technical point of contact during the sales cycle, building trust and credibility with client architects, data leaders, and executives.
• Solution Design & Architecture
  • Design end-to-end data and AI solution architectures leveraging platforms such as Microsoft Fabric, Databricks, Snowflake, Azure Synapse, AWS Redshift/SageMaker, or Google BigQuery/Vertex AI.
  • Develop solution blueprints covering data ingestion, data engineering, data governance, analytics/BI, MLOps, and AI application layers.
  • Ensure proposed architectures address scalability, security, compliance, cost optimization, and integration with existing client ecosystems.
• Demonstrations, POCs & Proposals
  • Build and deliver tailored product demonstrations, technical presentations, and workshops that showcase platform capabilities aligned to client needs.
  • Design, scope, and execute proof-of-concept (POC) and proof-of-value (POV) engagements, working cross-functionally with delivery, engineering, and partner teams.
  • Develop responses to RFPs/RFIs, including technical narratives, architecture diagrams, and effort estimates.
  • Create and maintain reusable presales assets: demo environments, solution accelerators, architecture templates, and battlecards.
• Technical Advisory & Enablement
  • Stay current on the evolving Data & AI landscape, including platform updates, competitive positioning, and emerging AI capabilities.
  • Provide technical input on pricing, licensing, and deployment models (SaaS, hybrid, on-prem) in partnership with sales and vendor partners.
  • Act as a liaison with technology partners (Microsoft, Databricks, Snowflake, AWS, Google Cloud) for co-selling motions, technical enablement, and joint solutioning.
  • Mentor junior presales/solutions engineers and contribute to building presales best practices and methodology.
  • Support smooth transition of won opportunities to delivery/implementation teams with clear documentation of scope, architecture, and client expectations.

Qualifications

• 10–15 years of overall experience in data, analytics, or AI-related technical roles.
• Minimum 5 years specifically in a Presales / Solutions Engineering / Solutions Architecture capacity, ideally within a consulting, systems integrator, or technology vendor environment.
• Demonstrated success supporting enterprise sales cycles and influencing deal outcomes through technical credibility.
• Experience responding to RFPs/RFIs and leading technical proposal development.

Requirements

• Technical Expertise
  • Strong hands-on knowledge of modern data platforms, including one or more of:
    • Microsoft Fabric / Azure Synapse / Azure Data Factory
    • Databricks (Lakehouse architecture, Delta Lake, Unity Catalog)
    • Snowflake
    • AWS (Redshift, Glue, SageMaker) or Google Cloud (BigQuery, Vertex AI)
  • Working knowledge of AI/ML engines and frameworks, including:
    • Generative AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic/OpenAI APIs)
    • Traditional ML/MLOps tooling (MLflow, Kubeflow, Azure ML, SageMaker)
    • LLM application patterns (RAG, agentic workflows, vector databases)
  • Solid understanding of data architecture concepts: data lakes/lakehouses, data warehousing, ETL/ELT pipelines, data governance, data quality, and master data management.
  • Familiarity with data security, privacy, and compliance frameworks (GDPR, HIPAA, SOC 2, etc.) as they apply to data and AI solutions.
  • Ability to read and discuss architecture diagrams, and where needed, build basic proof-of-concept configurations (SQL, Python/PySpark, notebooks).
• Consulting & Soft Skills
  • Excellent client-facing communication skills able to present to both technical architects and C-level executives.
  • Strong discovery and requirements-gathering skills; able to ask the right questions to uncover true business needs.
  • Confident whiteboarding and storytelling ability to translate technical concepts into business value.
  • Strong stakeholder management, negotiation, and objection-handling skills.
  • Self-starter who can manage multiple concurrent opportunities and shifting priorities.
  • Collaborative team player who works effectively with sales, delivery, product, and partner teams.
  • Flexibility to learn new technologies and methodologies and stay ahead of market trends in terms of technology.

Benefits

• The expected base salary for this position is up to $140,000.
• Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained.
• A competitive benefit package is also offered.

Travel Requirements

• Occasional travel is expected during Events, Conferences or Client meetings.